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Consensus in an AI-powered search engine that answers your questions with reference to published papers. No hallucinations. No fake citations to papers that don't exist. Here is a new Consensus feature that will make your literature review faster and easier. Ask a question and Consensus will give you a... show more

Mushtaq Bilal, PhD

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115,743 次观看 • 2 年前 •via X (Twitter)

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Finding relevant papers for your literature review takes a lot of time and labor. Consensus app will help you find relevant papers in minutes. Ask a question and Consensus will give you a list of relevant papers. It will also give you a "Study Snapshot" with details about: • Population • Sample size • Methods • Outcome

Finding relevant papers for your literature review takes a lot of time and labor. Consensus app will help you find relevant papers in minutes. Ask a question and Consensus will give you a list of relevant papers. It will also give you a "Study Snapshot" with details about: • Population • Sample size • Methods • Outcome

Mushtaq Bilal, PhD

196,854 次观看 • 2 年前

Reading papers and taking notes for literature review takes a lot of time. You can install ChatGPT in your Zotero to supercharge your literature review. It will answer your questions based on papers in your library, so no fake citations or references. Here's how to do it:

Reading papers and taking notes for literature review takes a lot of time. You can install ChatGPT in your Zotero to supercharge your literature review. It will answer your questions based on papers in your library, so no fake citations or references. Here's how to do it:

Mushtaq Bilal, PhD

352,597 次观看 • 2 年前

Systematic literature reviews take 12-18 months to complete. Looks like AI is going to fully automate systematic reviews sooner than later. SciSpace ( SciSpace) just launched an autonomous AI agent that conducts a systematic literature review with a single prompt. Go to scispace[.]com and run the following prompt: "Conduct a systematic literature review on [your topic]" SciSpace agent will generate research questions based on the PICO framework. You can review these questions and edit them according to your specific requirements. The agent will also draft screening criteria that you can edit according to your needs. Then the agent asks you to select the databases you want to use and the date range for paper. After this step, everything is fully automated. The agent will search for papers in the relevant databases, it will combine and rerank the papers. Then it will start the title and abstract screening and include the papers that meet the include criteria. In the next step, it will download the full text of included papers and screen them followed by data extraction. Based on the extracted data, it generates a complete systematic literature review and also a PRISMA diagram. It will also give you a table of papers included along with the rational for including them. The only thing that is keeping AI agents to fully automate systematic literature reviews fields is the papers behind paywalls. Check out the agent at scispace[.]com and see if you find its review useful.

Systematic literature reviews take 12-18 months to complete. Looks like AI is going to fully automate systematic reviews sooner than later. SciSpace ( SciSpace) just launched an autonomous AI agent that conducts a systematic literature review with a single prompt. Go to scispace[.]com and run the following prompt: "Conduct a systematic literature review on [your topic]" SciSpace agent will generate research questions based on the PICO framework. You can review these questions and edit them according to your specific requirements. The agent will also draft screening criteria that you can edit according to your needs. Then the agent asks you to select the databases you want to use and the date range for paper. After this step, everything is fully automated. The agent will search for papers in the relevant databases, it will combine and rerank the papers. Then it will start the title and abstract screening and include the papers that meet the include criteria. In the next step, it will download the full text of included papers and screen them followed by data extraction. Based on the extracted data, it generates a complete systematic literature review and also a PRISMA diagram. It will also give you a table of papers included along with the rational for including them. The only thing that is keeping AI agents to fully automate systematic literature reviews fields is the papers behind paywalls. Check out the agent at scispace[.]com and see if you find its review useful.

Mushtaq Bilal, PhD

41,791 次观看 • 3 个月前

How to analyze data for literature review in seconds? 𝐅𝐢𝐫𝐬𝐭, 𝐥𝐞𝐭’𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐈 𝐦𝐞𝐚𝐧 𝐛𝐲 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬. In a literature review, we study data in the papers: ✓ To understand the overall field of study ✓ To learn about trends and patterns in the field ✓ To identify gaps for future research For this, we collect a pool of papers say 100 papers. 𝐁𝐮𝐭 𝐰𝐡𝐚𝐭 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝟏𝟎𝟎 𝐩𝐚𝐩𝐞𝐫𝐬? Like the following data: ↳ Publication year of these papers ↳ Citations of each paper ↳ Top authors in these papers ↳ Key terms in these papers ↳ Citation impact of these papers ↳ Authors’ impact of these papers This data about the papers also needs to be analyzed. It can reveal interesting patterns about the field. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐨 𝐭𝐡𝐢𝐬 𝐦𝐞𝐭𝐚-𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐢𝐧 𝐬𝐞𝐜𝐨𝐧𝐝𝐬? 1. Go to 2. Upload the PDF of papers to the library 3. Select all papers and click on bibliometric analysis 4. Create your canvas for meta-analysis ➟ This canvas contains all types of meta-analysis. ➟ You can download the graphs ➟ You can include them in your literature review. Try AnswerThis Canvas today: Anything you'd like to add?

How to analyze data for literature review in seconds? 𝐅𝐢𝐫𝐬𝐭, 𝐥𝐞𝐭’𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐈 𝐦𝐞𝐚𝐧 𝐛𝐲 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬. In a literature review, we study data in the papers: ✓ To understand the overall field of study ✓ To learn about trends and patterns in the field ✓ To identify gaps for future research For this, we collect a pool of papers say 100 papers. 𝐁𝐮𝐭 𝐰𝐡𝐚𝐭 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞𝐬𝐞 𝟏𝟎𝟎 𝐩𝐚𝐩𝐞𝐫𝐬? Like the following data: ↳ Publication year of these papers ↳ Citations of each paper ↳ Top authors in these papers ↳ Key terms in these papers ↳ Citation impact of these papers ↳ Authors’ impact of these papers This data about the papers also needs to be analyzed. It can reveal interesting patterns about the field. 𝐇𝐨𝐰 𝐭𝐨 𝐝𝐨 𝐭𝐡𝐢𝐬 𝐦𝐞𝐭𝐚-𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐢𝐧 𝐬𝐞𝐜𝐨𝐧𝐝𝐬? 1. Go to 2. Upload the PDF of papers to the library 3. Select all papers and click on bibliometric analysis 4. Create your canvas for meta-analysis ➟ This canvas contains all types of meta-analysis. ➟ You can download the graphs ➟ You can include them in your literature review. Try AnswerThis Canvas today: Anything you'd like to add?

Faheem Ullah

12,068 次观看 • 7 个月前

Researchers are using ChatGPT to generate content for their papers...and are getting caught. Want to avoid this kind of embarrassement? Use Consensus, it has an AI-powered Copilot integrated with academic databses. Ask it to generate an outline for a literature review. It will give you an outline with citations to published research. No nonsense like "As an AI language model..."

Researchers are using ChatGPT to generate content for their papers...and are getting caught. Want to avoid this kind of embarrassement? Use Consensus, it has an AI-powered Copilot integrated with academic databses. Ask it to generate an outline for a literature review. It will give you an outline with citations to published research. No nonsense like "As an AI language model..."

Mushtaq Bilal, PhD

122,389 次观看 • 2 年前

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

Faheem Ullah

26,494 次观看 • 5 个月前

Log in to your JSTOR account and type in a few keywords. JSTOR will tell you they're working on a new kind of search. Click on "Try it with your search." You will see a list of papers. Click on anyone and you will see an AI-powered reading assistant to the right of your screen.

Log in to your JSTOR account and type in a few keywords. JSTOR will tell you they're working on a new kind of search. Click on "Try it with your search." You will see a list of papers. Click on anyone and you will see an AI-powered reading assistant to the right of your screen.

Mushtaq Bilal, PhD

78,912 次观看 • 1 年前

Use this FREE tool to generate the first draft of ANY type of literature review. Meet AnswerThis — a tool that makes literature review faster and easier. Here’s how it works. 1. Visit and log in. 2. Select the 𝐿𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑅𝑒𝑣𝑖𝑒𝑤 option from the menu. 3. From the prompt helper, select 𝑊𝑟𝑖𝑡𝑒 𝑎 𝑙𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑟𝑒𝑣𝑖𝑒𝑤 𝑜𝑛. 4. Enter your research topic in the blank text field ➝ For example, Vulnerabilities in Big Data Systems 5. Click 𝐶𝑟𝑒𝑎𝑡𝑒 to generate the initial search prompt. 6. Press Enter to see research filter options. 7. Choose your response type based on your needs. ➝ Structured Literature Review: Citation-rich and detailed. ➝ Dynamic Research Assistant: To explore research gaps. ➝ AI Only: Fast, but unreliable with no citations. 8. Set the minimum number of citations for the review. ➝ Choose at least 10 for comprehensive results. 9. Decide whether to enable 𝑇𝑢𝑟𝑏𝑜 𝑀𝑜𝑑𝑒 for faster results. ➝ Disabling it gives you more comprehensive answers. 10. Select the sources for search results. ➝ Choose both web and databases for thorough results. 11. Specify the date range to get recent papers. 12. Enable 𝑑𝑜𝑢𝑏𝑙𝑒-𝑐ℎ𝑒𝑐𝑘 𝑐𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 for accurate results. 13. Once filters are set, click 𝑆𝑢𝑏𝑚𝑖𝑡 𝑆𝑒𝑎𝑟𝑐ℎ to proceed. 14. After a while, your literature review will be generated. ➝ Sources and citations will be listed on the right. 15. Review the results and assess the paper sources carefully. 16. Add relevant papers to your library for easy access later. 17. Export citations in formats like BibTeX or CSV as needed. 18. You can also download the review as a Word or PDF file. Treat this literature review as an initial draft. Refine it and build your review on the top of it. Ready to make literature review effortless? Try AnswerThis ( today and see the difference!

Use this FREE tool to generate the first draft of ANY type of literature review. Meet AnswerThis — a tool that makes literature review faster and easier. Here’s how it works. 1. Visit and log in. 2. Select the 𝐿𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑅𝑒𝑣𝑖𝑒𝑤 option from the menu. 3. From the prompt helper, select 𝑊𝑟𝑖𝑡𝑒 𝑎 𝑙𝑖𝑡𝑒𝑟𝑎𝑡𝑢𝑟𝑒 𝑟𝑒𝑣𝑖𝑒𝑤 𝑜𝑛. 4. Enter your research topic in the blank text field ➝ For example, Vulnerabilities in Big Data Systems 5. Click 𝐶𝑟𝑒𝑎𝑡𝑒 to generate the initial search prompt. 6. Press Enter to see research filter options. 7. Choose your response type based on your needs. ➝ Structured Literature Review: Citation-rich and detailed. ➝ Dynamic Research Assistant: To explore research gaps. ➝ AI Only: Fast, but unreliable with no citations. 8. Set the minimum number of citations for the review. ➝ Choose at least 10 for comprehensive results. 9. Decide whether to enable 𝑇𝑢𝑟𝑏𝑜 𝑀𝑜𝑑𝑒 for faster results. ➝ Disabling it gives you more comprehensive answers. 10. Select the sources for search results. ➝ Choose both web and databases for thorough results. 11. Specify the date range to get recent papers. 12. Enable 𝑑𝑜𝑢𝑏𝑙𝑒-𝑐ℎ𝑒𝑐𝑘 𝑐𝑖𝑡𝑎𝑡𝑖𝑜𝑛𝑠 for accurate results. 13. Once filters are set, click 𝑆𝑢𝑏𝑚𝑖𝑡 𝑆𝑒𝑎𝑟𝑐ℎ to proceed. 14. After a while, your literature review will be generated. ➝ Sources and citations will be listed on the right. 15. Review the results and assess the paper sources carefully. 16. Add relevant papers to your library for easy access later. 17. Export citations in formats like BibTeX or CSV as needed. 18. You can also download the review as a Word or PDF file. Treat this literature review as an initial draft. Refine it and build your review on the top of it. Ready to make literature review effortless? Try AnswerThis ( today and see the difference!

Faheem Ullah

12,694 次观看 • 5 个月前

Researchers spend 2 hours daily just scanning papers. What if you can directly find the exact papers you need? Imagine you are working on a research project. ↳ You can go Google Scholar ↳ You hit a search query ↳ Google Scholar return 2000+ papers ↳ You keep opening new papers in new tabs ↳ The scanning process goes on ↳ After an hour, you are still not sure ➤ Which papers are relevant? This is the problem faced by almost all researchers. 🎁 The good news? Meet WisPaper - the perfect paper finder. This tool deploys AI agents to find the exact papers, 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 𝐰𝐨𝐫𝐤𝐬 1. Go to 2. Enter your search query 3. For example, I entered the following 𝐹𝑖𝑛𝑑 𝑝𝑎𝑝𝑒𝑟𝑠 𝑜𝑛 𝑣𝑢𝑙𝑛𝑒𝑟𝑎𝑏𝑖𝑙𝑖𝑡𝑖𝑒𝑠 𝑖𝑛 𝑏𝑖𝑔 𝑑𝑎𝑡𝑎 𝑠𝑦𝑠𝑡𝑒𝑚𝑠 4. 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 will start the search process. 5. The search process is broken down into 3 steps. ✓ Analysing questions ✓ Validating criteria ✓ Searching and validating 6. After completion, you will see a list of papers. 7. You can add papers to your library 8. If you need specific search, you can add criteria. In addition to searching, 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 also helps in: ➝ Organizing papers in the form of a library ➝ Send you alerts about papers relevant to you 🎗️ Try 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 today for free:

Researchers spend 2 hours daily just scanning papers. What if you can directly find the exact papers you need? Imagine you are working on a research project. ↳ You can go Google Scholar ↳ You hit a search query ↳ Google Scholar return 2000+ papers ↳ You keep opening new papers in new tabs ↳ The scanning process goes on ↳ After an hour, you are still not sure ➤ Which papers are relevant? This is the problem faced by almost all researchers. 🎁 The good news? Meet WisPaper - the perfect paper finder. This tool deploys AI agents to find the exact papers, 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐡𝐨𝐰 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 𝐰𝐨𝐫𝐤𝐬 1. Go to 2. Enter your search query 3. For example, I entered the following 𝐹𝑖𝑛𝑑 𝑝𝑎𝑝𝑒𝑟𝑠 𝑜𝑛 𝑣𝑢𝑙𝑛𝑒𝑟𝑎𝑏𝑖𝑙𝑖𝑡𝑖𝑒𝑠 𝑖𝑛 𝑏𝑖𝑔 𝑑𝑎𝑡𝑎 𝑠𝑦𝑠𝑡𝑒𝑚𝑠 4. 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 will start the search process. 5. The search process is broken down into 3 steps. ✓ Analysing questions ✓ Validating criteria ✓ Searching and validating 6. After completion, you will see a list of papers. 7. You can add papers to your library 8. If you need specific search, you can add criteria. In addition to searching, 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 also helps in: ➝ Organizing papers in the form of a library ➝ Send you alerts about papers relevant to you 🎗️ Try 𝐖𝐢𝐬𝐏𝐚𝐩𝐞𝐫 today for free:

Faheem Ullah

20,271 次观看 • 6 个月前

How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

Faheem Ullah

24,341 次观看 • 4 个月前

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

Faheem Ullah

21,390 次观看 • 8 个月前

How to write a systematic literature review in 1 hour? A systematic literature review takes 4-6 months. You can reduce this time. 🎯 Here is how you can write it in 1 hour. 1️⃣ Go to 2️⃣ Select Gatsbi reviewer from the drop-down menu 3️⃣ Enter the topic of your literature review 4️⃣ Gatsbi AI will generate an outline for review 5️⃣ If you are OK with it, click on write manuscript. 6️⃣ Gatsbi will write the literature review for you. 👉 The literature review contains the following parts ✓ Title ✓ Abstract ✓ Introduction ✓ Methodology ✓ Results ✓ Discussion ✓ Conclusion ✓ References 👉 This polished paper also contains ➝ Diagrams ➝ Tables ➝ Equations ➝ Graphs Once the paper is ready, you can humanize the text. After this, you can download it in the following formats. ↳ MS Word ↳ Latex ↳ Markdown After downloading, make any changes you want. In addition to Gatsbi Reviewer, you can also use: → Gatsbi Innovator: Generate ideas before writing → Gatsbi Writer: Write research papers 🎗️ Try Gatsbi AI today for free: ❄️ Anything you'd like to add?

How to write a systematic literature review in 1 hour? A systematic literature review takes 4-6 months. You can reduce this time. 🎯 Here is how you can write it in 1 hour. 1️⃣ Go to 2️⃣ Select Gatsbi reviewer from the drop-down menu 3️⃣ Enter the topic of your literature review 4️⃣ Gatsbi AI will generate an outline for review 5️⃣ If you are OK with it, click on write manuscript. 6️⃣ Gatsbi will write the literature review for you. 👉 The literature review contains the following parts ✓ Title ✓ Abstract ✓ Introduction ✓ Methodology ✓ Results ✓ Discussion ✓ Conclusion ✓ References 👉 This polished paper also contains ➝ Diagrams ➝ Tables ➝ Equations ➝ Graphs Once the paper is ready, you can humanize the text. After this, you can download it in the following formats. ↳ MS Word ↳ Latex ↳ Markdown After downloading, make any changes you want. In addition to Gatsbi Reviewer, you can also use: → Gatsbi Innovator: Generate ideas before writing → Gatsbi Writer: Write research papers 🎗️ Try Gatsbi AI today for free: ❄️ Anything you'd like to add?

Faheem Ullah

211,204 次观看 • 6 个月前

PhD Students – How to write a systematic literature review in 1 day? A systematic literature review takes 4-6 months. You can reduce this time. 🎯 Here is how you can write it in 1 hour. 1️⃣ Go to 2️⃣ Select Gatsbi reviewer from the drop-down menu 3️⃣ Enter the topic of your literature review 4️⃣ Gatsbi will generate an outline for review 5️⃣ If you are OK with it, click on write manuscript. 6️⃣ Gatsbi will write the literature review for you. 👉 The literature review contains the following parts ✓ Title ✓ Abstract ✓ Introduction ✓ Methodology ✓ Results ✓ Discussion ✓ Conclusion ✓ References 👉 This polished paper also contains ➝ Diagrams ➝ Tables ➝ Equations ➝ Graphs Once the draft is ready, you can humanize the text. Once humanized, you can download it in the following formats. ↳ MS Word ↳ Latex ↳ Markdown After downloading, you can make any changes you want. In addition to Gatsbi Reviewer, you can also use: → Gatsbi Innovator: Generate ideas before writing → Gatsbi Writer: Write research papers 🎗️Try Gatsbi today for free:

PhD Students – How to write a systematic literature review in 1 day? A systematic literature review takes 4-6 months. You can reduce this time. 🎯 Here is how you can write it in 1 hour. 1️⃣ Go to 2️⃣ Select Gatsbi reviewer from the drop-down menu 3️⃣ Enter the topic of your literature review 4️⃣ Gatsbi will generate an outline for review 5️⃣ If you are OK with it, click on write manuscript. 6️⃣ Gatsbi will write the literature review for you. 👉 The literature review contains the following parts ✓ Title ✓ Abstract ✓ Introduction ✓ Methodology ✓ Results ✓ Discussion ✓ Conclusion ✓ References 👉 This polished paper also contains ➝ Diagrams ➝ Tables ➝ Equations ➝ Graphs Once the draft is ready, you can humanize the text. Once humanized, you can download it in the following formats. ↳ MS Word ↳ Latex ↳ Markdown After downloading, you can make any changes you want. In addition to Gatsbi Reviewer, you can also use: → Gatsbi Innovator: Generate ideas before writing → Gatsbi Writer: Write research papers 🎗️Try Gatsbi today for free:

Faheem Ullah

360,395 次观看 • 3 个月前

🚨 BREAKING: Someone built an AI that replaces 6 months of literature review with a single workspace. It's called Moara. You dump your research papers in. The AI organizes, analyzes, and synthesizes everything across hundreds of millions of academic sources. You come back and there's a structured literature review waiting. Not a chatbot answer. Not a vague summary. The actual research synthesis. A full research workspace that thinks like a scientist. Works for medicine, engineering, social sciences, law, business, humanities — every discipline. Here's what it does on its own: → Searches hundreds of millions of papers across PubMed, arXiv, Google Scholar, Semantic Scholar, ClinicalTrials .gov, Cochrane, and more in one shot → Screens and tags results automatically, pulling out methodologies, findings, and contributions from every paper → Lets you chat with your entire library at once, find themes, spot gaps, and compare findings across dozens of papers simultaneously → Integrates with Zotero, LibKey, RIS, and BibTeX so your existing research workflow doesn't break → Traces every AI insight back to its original source so nothing is hallucinated and everything is verifiable → Supports full team collaboration so entire research groups can screen and synthesize together Try it here:

🚨 BREAKING: Someone built an AI that replaces 6 months of literature review with a single workspace. It's called Moara. You dump your research papers in. The AI organizes, analyzes, and synthesizes everything across hundreds of millions of academic sources. You come back and there's a structured literature review waiting. Not a chatbot answer. Not a vague summary. The actual research synthesis. A full research workspace that thinks like a scientist. Works for medicine, engineering, social sciences, law, business, humanities — every discipline. Here's what it does on its own: → Searches hundreds of millions of papers across PubMed, arXiv, Google Scholar, Semantic Scholar, ClinicalTrials .gov, Cochrane, and more in one shot → Screens and tags results automatically, pulling out methodologies, findings, and contributions from every paper → Lets you chat with your entire library at once, find themes, spot gaps, and compare findings across dozens of papers simultaneously → Integrates with Zotero, LibKey, RIS, and BibTeX so your existing research workflow doesn't break → Traces every AI insight back to its original source so nothing is hallucinated and everything is verifiable → Supports full team collaboration so entire research groups can screen and synthesize together Try it here:

Rimsha Bhardwaj

49,563 次观看 • 3 个月前

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

PhD Students – How to extract data from papers for your literature review in seconds? Extracting data from papers takes a lot of time. You can automate this process with Bohrium 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜𝐚𝐥𝐥𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭 𝐝𝐚𝐭𝐚 𝐟𝐫𝐨𝐦 𝐩𝐚𝐩𝐞𝐫𝐬? 1. Go to and log in 2. Click on 𝐾𝑛𝑜𝑤𝑙𝑒𝑑𝑔𝑒 𝐵𝑎𝑠𝑒 from the left menu 3. Upload the papers you selected for literature review 4. You will see the following option against each paper - Read PDF - Key Takeaway - AI Poster 5. Click on 𝑅𝑒𝑎𝑑 𝑃𝐷𝐹 for the first paper in your list 6. Write a prompt for the data you want to extract 7. For example, you can enter datasets, methodology etc. 8. It will extract the required data from the paper 9. If you want to extract Key Takeaways from the paper 10. Go back and click on 𝐾𝑒𝑦 𝑇𝑎𝑘𝑒𝑎𝑤𝑎𝑦𝑠 11. Bohrium will extract Key Takeaways from the paper 12. In addition to this, you also have 2 more options - AI Poster - Podcast 13. Click on 𝐴𝐼 𝑃𝑜𝑠𝑡𝑒𝑟 and it will create a poster for you 14. This is the poster based on the given research paper 15. If you click on 𝑃𝑜𝑑𝑐𝑎𝑠𝑡, it will convert the paper to audio 16. You can listen to the paper instead of reading it Repeat this cycle for all the papers in your pool. You will end up with the required data. You can use this data to write your literature review Try Bohrium today for FREE: Anything you’d like to add?

Faheem Ullah

13,413 次观看 • 10 个月前

💬: Can you review yourself in the future? EF: I'd ask for good health and time to travel to places that I want to go. I think that's all. 💬: Isn't it supposed to be a review? EF: I really don't know. I can give a review once it happened but no one knows what the future will be, so I can't give a review. Now I can only make a wish. #EngfaWaraha #อิงฟ้ามหาชน

💬: Can you review yourself in the future? EF: I'd ask for good health and time to travel to places that I want to go. I think that's all. 💬: Isn't it supposed to be a review? EF: I really don't know. I can give a review once it happened but no one knows what the future will be, so I can't give a review. Now I can only make a wish. #EngfaWaraha #อิงฟ้ามหาชน

Me_Myself_and_I

25,852 次观看 • 9 个月前

Remember that paper that started with ‘Certainly, here is a possible introduction for your topic’? How did that get past peer review?! I don’t want AI tools to do my research for me. I want AI tools to speed up boring tasks that take up my time, so I can focus on the important stuff. Anara moved to a new handle (formerly Unriddle) does exactly that. Here’s how you can use it for your research. 🧵👇 #SponsoredWalkthrough One of the biggest challenges in research is time. A solid literature review takes at least 2-3 months… sometimes even longer, depending on the depth of analysis needed. Reading, organising, and synthesising information is a slow process, but it’s absolutely necessary for high-quality work. AI can help speed it up. Not by replacing your critical thinking. It’s your PhD, your ideas need to be your own—but by automating the tedious, repetitive parts of research so you can focus on deep understanding, analysis, and writing. Unlike other AI tools, Anara works with almost any document format. This is what makes it really stand out from the rest. For instance, you can upload: ✅PDFs and other word-based documents ✅Images and presentations ✅Handwritten notes, voice memos, even videos There are so many resources out there that we can learn from. You can upload everything from research papers to YouTube videos and even your own notes and scribbles. It actually understands handwriting surprisingly well! You get automatic summaries when you upload documents. The AI extracts key information immediately, giving you quick insights. It can also help you keep your documents organised. Use the Groups feature to sort and categorise your resources. Create a group for your literature review and keep these papers separate from your other projects or chapters. Tip: Overwhelmed by the number of papers in your "to-be-read" folder? Upload your papers to Anara for immediate insights on each of them, then use these to decide which ones you want to read in more detail. Quickly identify which papers are worth your time—thank me later! You can also go deeper into the papers with Anara’s chat feature. Instead of endlessly scrolling through documents to find relevant sections, just ask the AI a question based on your uploaded files. The chat provides direct answers, all with citations. ✅Suggests questions based on your prompt, helping you refine your focus ✅Everything is sourced directly from your documents. So no random AI-generated nonsense ✅Switch between different AI models to suit your needs. Some are better for summarisation, others for deeper contextual analysis It actually sticks to the sources you give it. My favourite feature is the ability to make flashcards! After you upload a document, Anara can create flashcards to help you test your understanding. Perfect for revision and retention. But… can you trust it? The problem with many AI research tools is hallucination... meaning that they make things up. Anara doesn’t do that. It reduces hallucinations by only referencing the documents you upload. Plus, it provides detailed references and hyperlinks so you can check the original source down to the exact page number. This doesn’t mean you shouldn’t read the paper for yourself. It does mean that you can find what you need much faster, and then verify it with automatic citations. At the end of the day, these tools are here to help you, not replace you. If you’ve made it this far, then it’s (definitely) time to go to 👇 anara(dot)so and give it a try. Use code THEPHDPLACE20 for 20% off

Remember that paper that started with ‘Certainly, here is a possible introduction for your topic’? How did that get past peer review?! I don’t want AI tools to do my research for me. I want AI tools to speed up boring tasks that take up my time, so I can focus on the important stuff. Anara moved to a new handle (formerly Unriddle) does exactly that. Here’s how you can use it for your research. 🧵👇 #SponsoredWalkthrough One of the biggest challenges in research is time. A solid literature review takes at least 2-3 months… sometimes even longer, depending on the depth of analysis needed. Reading, organising, and synthesising information is a slow process, but it’s absolutely necessary for high-quality work. AI can help speed it up. Not by replacing your critical thinking. It’s your PhD, your ideas need to be your own—but by automating the tedious, repetitive parts of research so you can focus on deep understanding, analysis, and writing. Unlike other AI tools, Anara works with almost any document format. This is what makes it really stand out from the rest. For instance, you can upload: ✅PDFs and other word-based documents ✅Images and presentations ✅Handwritten notes, voice memos, even videos There are so many resources out there that we can learn from. You can upload everything from research papers to YouTube videos and even your own notes and scribbles. It actually understands handwriting surprisingly well! You get automatic summaries when you upload documents. The AI extracts key information immediately, giving you quick insights. It can also help you keep your documents organised. Use the Groups feature to sort and categorise your resources. Create a group for your literature review and keep these papers separate from your other projects or chapters. Tip: Overwhelmed by the number of papers in your "to-be-read" folder? Upload your papers to Anara for immediate insights on each of them, then use these to decide which ones you want to read in more detail. Quickly identify which papers are worth your time—thank me later! You can also go deeper into the papers with Anara’s chat feature. Instead of endlessly scrolling through documents to find relevant sections, just ask the AI a question based on your uploaded files. The chat provides direct answers, all with citations. ✅Suggests questions based on your prompt, helping you refine your focus ✅Everything is sourced directly from your documents. So no random AI-generated nonsense ✅Switch between different AI models to suit your needs. Some are better for summarisation, others for deeper contextual analysis It actually sticks to the sources you give it. My favourite feature is the ability to make flashcards! After you upload a document, Anara can create flashcards to help you test your understanding. Perfect for revision and retention. But… can you trust it? The problem with many AI research tools is hallucination... meaning that they make things up. Anara doesn’t do that. It reduces hallucinations by only referencing the documents you upload. Plus, it provides detailed references and hyperlinks so you can check the original source down to the exact page number. This doesn’t mean you shouldn’t read the paper for yourself. It does mean that you can find what you need much faster, and then verify it with automatic citations. At the end of the day, these tools are here to help you, not replace you. If you’ve made it this far, then it’s (definitely) time to go to 👇 anara(dot)so and give it a try. Use code THEPHDPLACE20 for 20% off

The PhD Place

23,135 次观看 • 1 年前

PhD Students – I read 20 research papers in 20 minutes. Surprised? Here is exactly how I did it. 𝐏𝐚𝐫𝐭 𝟏: 𝐅𝐫𝐨𝐦 𝐆𝐨𝐨𝐠𝐥𝐞 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 (𝟏𝟎 𝐩𝐚𝐩𝐞𝐫𝐬) 1. Go to 2. Click on 𝑁𝑒𝑤 𝐿𝑖𝑏𝑟𝑎𝑟𝑦 3. Search for your topic directly inside moara 4. Results pull straight from Google Scholar 5. Click + to add each paper — done 𝐏𝐚𝐫𝐭 𝟐: 𝐅𝐫𝐨𝐦 𝐏𝐃𝐅𝐬 (𝟏𝟎 𝐩𝐚𝐩𝐞𝐫𝐬) 6. Click 𝐼𝑚𝑝𝑜𝑟𝑡 and select your PDF files 7. Upload all 10 at once 8. moara auto-finds the DOI for each one 9. Metadata is enriched automatically 10. Your library is clean and ready to work with 𝐍𝐨𝐰 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐩𝐨𝐰𝐞𝐫 𝐛𝐞𝐠𝐢𝐧𝐬. Once your papers are in, you can: ➟ Invite teammates and assign screening tasks ➟ Extract study designs, datasets, methods, and more ➟ Chat with your entire library to find gaps ➟ Chat with your library to compare findings ➟ Screen papers formally with title & abstract review ➟ Do full-text review with annotations saved automatically ➟ Build paper outlines with citations 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐢𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐟𝐫𝐨𝐦 𝐨𝐭𝐡𝐞𝐫𝐬? ↳ Most AI research tools give you a summary. ↳ Unlike, moara is built on actual library of papers ↳ This means real discovery, real control ↳ Furthermore, a real workflow from first paper outline. Try moara for FREE:

PhD Students – I read 20 research papers in 20 minutes. Surprised? Here is exactly how I did it. 𝐏𝐚𝐫𝐭 𝟏: 𝐅𝐫𝐨𝐦 𝐆𝐨𝐨𝐠𝐥𝐞 𝐒𝐜𝐡𝐨𝐥𝐚𝐫 (𝟏𝟎 𝐩𝐚𝐩𝐞𝐫𝐬) 1. Go to 2. Click on 𝑁𝑒𝑤 𝐿𝑖𝑏𝑟𝑎𝑟𝑦 3. Search for your topic directly inside moara 4. Results pull straight from Google Scholar 5. Click + to add each paper — done 𝐏𝐚𝐫𝐭 𝟐: 𝐅𝐫𝐨𝐦 𝐏𝐃𝐅𝐬 (𝟏𝟎 𝐩𝐚𝐩𝐞𝐫𝐬) 6. Click 𝐼𝑚𝑝𝑜𝑟𝑡 and select your PDF files 7. Upload all 10 at once 8. moara auto-finds the DOI for each one 9. Metadata is enriched automatically 10. Your library is clean and ready to work with 𝐍𝐨𝐰 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐩𝐨𝐰𝐞𝐫 𝐛𝐞𝐠𝐢𝐧𝐬. Once your papers are in, you can: ➟ Invite teammates and assign screening tasks ➟ Extract study designs, datasets, methods, and more ➟ Chat with your entire library to find gaps ➟ Chat with your library to compare findings ➟ Screen papers formally with title & abstract review ➟ Do full-text review with annotations saved automatically ➟ Build paper outlines with citations 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐢𝐬 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐟𝐫𝐨𝐦 𝐨𝐭𝐡𝐞𝐫𝐬? ↳ Most AI research tools give you a summary. ↳ Unlike, moara is built on actual library of papers ↳ This means real discovery, real control ↳ Furthermore, a real workflow from first paper outline. Try moara for FREE:

Faheem Ullah

13,828 次观看 • 4 个月前

I’m worried that the US government debt problem will get so bad that the US will “go broke” and I believe that there are steps we can take to prevent it. I am in the process of completing a comprehensive study about the mechanics of how countries go broke, where the US government is in its Big Debt Cycle, and what policymakers and investors should do about it. The study will be published later this year as a new book: How Countries Go Broke: Principles for Navigating the Big Debt Cycle, Where We Are Headed, and What We Should Do. As with my prior books, I am going to pass along parts of it for free as I am writing, and I'd like to discuss what it says with you and others on social media. You can read Part One here:

I’m worried that the US government debt problem will get so bad that the US will “go broke” and I believe that there are steps we can take to prevent it. I am in the process of completing a comprehensive study about the mechanics of how countries go broke, where the US government is in its Big Debt Cycle, and what policymakers and investors should do about it. The study will be published later this year as a new book: How Countries Go Broke: Principles for Navigating the Big Debt Cycle, Where We Are Headed, and What We Should Do. As with my prior books, I am going to pass along parts of it for free as I am writing, and I'd like to discuss what it says with you and others on social media. You can read Part One here:

Ray Dalio

286,233 次观看 • 1 年前

Open your ChatGPT and click on your profile photo in the bottom-left corner. Select "Customize ChatGPT." You will see two boxes for custom instructions. In the first box, tell ChatGPT a bit about yourself. For example: I am an academic researcher with a PhD in [your field]. For the second box, use the following instruction: You will respond like my research assistant. You will never mention that you are an AI model. I already know that. Repeating it is a waste of time and resources. If I ask you a question, you will never use any meta remarks in your answers. For example, if I ask you proofread a paragraph, you will not say anything like "Here is the proofread version of your paragraph." You will simply give me the proofread version. You will keep your answers precise and will not use more words than necessary. You will decline all requests asking for citations and references to academic articles or any other sources. You will follow these instructions strictly and will never deviate from them.

Mushtaq Bilal, PhD

50,669 次观看 • 2 年前