Ilya Shabanov Profile picture
Jun 27, 2023 11 tweets 4 min read Read on X
Reading more papers won't help your Literature Review.

If you don't structure what you know smartly, you slow yourself down.

Here is how to speed up your Lit Review using canvas:
(with some help from ChatGPT)
👇
What you don't review, you quickly forget - this is the famous "forgetting curve".

A typical literature review can include ~100 papers, impossible to keep in the mind all at once.

Instead we can build a system of reviewing them AND creating a narrative for our paper.
@obsdmd 1. Make a note to review a set of papers

I read 5 papers yesterday and I probably will forget them in a few days.

Instead: I make a note to myself to start writing on them tomorrow.

As they are fresh I have an idea what the TOPIC will be - note it down.
@obsdmd 2. Write a paragraph about each

Place those on your canvas.

This process boosts your UNDERSTANDING at least several times imho.

While re-reading you notice how much you missed.

Plus you can use those paragraphs in your own publication!
@obsdmd 3. Create a punchline or argument for each of the paragraphs

ChatGPT is perfect for this, just ask it to create multiple title variations.

Adjust and paste them back into your canvas.

This will help you NAVIGATE your argument as the number of papers grows.
@obsdmd 4. Add key figures to support your text

Canvas allows you to add images, PDFs and screenshots directly next to the notes.

Use it as a visual summary and anchor for your text.
@obsdmd 5. Color code elements & use abbreviations

@obsdmd Canvas allows you to add a colour to your cards.

Use this to navigate easier in your literature review canvas.
@obsdmd 6. Connect with questions

I read a paper on how plants adapt to temperature.

However these are TERRESTRIAL plants, my plant is AQUATIC.

Naturally I ask: "Does it work the same way?"

Google a paper that might answer it, then create a connection to the link.
@obsdmd 7. Always note down problems

I use red cards to indicate problems with the idea I am researching.

But very often problems spark solutions, these can become (blue) idea cards.
@obsdmd ✅ As you connect, ideas grow together into a NARRATIVE.
✅ A reading list is ready based on WHY you want to read a paper
✅ 100s of words are prewritten for your publication
✅ Every time you change something, you automatically REVIEW it

Narratives are easier to remember!
@obsdmd If you enjoyed this post, please give your loved ones a hug, and leave a heart for the first post in this thread.

The link in my bio has a few free resources for you to use.

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More from @Artifexx

Apr 10, 2025
This is what my paper looks like.

It shows every result & decision of 3+ months.

Let me walk you through it:
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The green boxes are data sources.

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The result can be a plot, for example.

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Feb 25, 2025
Just tested SciSpace Deep Review AI.

It analyzed 1750 papers and wrote a 3,050-word lit review - in three minutes.

Don't miss this milestone:
👇 Image
While the output isn’t ready for direct publication, the level of detail is remarkable.

AI-assisted tools like @scispace_ are changing how researchers conduct literature reviews

It gets faster, easier and more structured. Image
Start by visiting and typing in a preliminary research question, just as you would for a literature search.

Select "Deep Review" under the search box. typeset.io/searchImage
Read 8 tweets
Feb 19, 2025
I just built a "Research Oracle", an AI that speeds up my research.

Here is how you can build yours:
👇 Image
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ChatGPT has a new feature called "Projects".

It bundles chats + files + custom instructions.

Create one and give it a few papers as a knowledge base. Image
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I tried 50+ academic GPTs.

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Here are the top 18 that will actually boost your productivity: Image
If you have never used CustomGPTs:
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→ Start a conversation Image
Leveraging AI for your academic writing will make you super productive.

I will explain how in the upcoming webinar:

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Feb 8, 2025
Struggling to write research papers?

I found a game-changing method using AI:
(prompt in the thread)
👇 Image
Here is an example of what core sentence s look like.

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Here is the simple prompt I am using:

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""" """

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