Ilya Shabanov Profile picture
Jan 11 β€’ 18 tweets β€’ 11 min read
Read less – learn more.

Cut down your PhD or literature review reading list by 75%:

Here is a simple 3-step workflow:
πŸ§΅πŸ‘‡

#AcademicChatter #ScienceTwitter #AcademicTwitter
We will use the 80/20 principle and identify the 20% top papers from these 3 categories:

β–Ί Most Cited: Foundational, often dated work

β–Ί Most Recent: Cutting edge, often no citations

β–Ί Most References: Review papers

It's super easy with @LitmapsApp. (free acct is enough)
@LitmapsApp 1. Navigate to "Your Library" in Litmaps.

Your library is organised in collections, or folders containing your papers.

(If you're using Zotero, Mendeley etc, I'll show you how to import into litmaps in a second. )
@LitmapsApp 2. Create a collection

A collection is just a folder where you store references. i.e. papers.

As fas as I know, there are no limits on folders or contents in the free version of litmaps. So the free version is enough for this workflow.
@LitmapsApp 3. Import your paper collection

You can either export from Zotero, Mendeley, Paperpile, or do it by hand and type in titles and DOIs.

I assume you have a lot of papers here.
In my example we "only" have 45. But even that would probably take me 2-3 weeks to go through.
@LitmapsApp 4. Zotero β†’ Litmaps

Here is how you go from Zotero to Litmaps.

The same export-import flow will work for Mendeley, Paperpile or whatever you are using.

End result: Our papers are now in the collection!
@LitmapsApp 5. Create a "reading list" collection

We will start putting our selected papers in here.

I call it "Reading List + Date"
@LitmapsApp 6. Filter I: Most Recent

Sort by Year, pick a few papers, add them to our reading list collection.

These papers represent WHERE THE FIELD IS AT.

Use your best judgement to identify what is relevant - don't just take the top ones.

Click on a paper to bring up the abstract.
@LitmapsApp 7. Filter II: Pick out Review Papers

Sort by "Reference #".

Usually review papers will have more citations than others - but not always. Use best judgement.

"McGlone 2022" in my example now is a review + recent (notice the icon color).
Strong indicator to read it first!
@LitmapsApp 8. Filter III: Foundational Papers

Papers that everyone knows in the field, will have high citations.

Sort by "Cited By #" and again pick a few from the top. (Aim at picking no more than 10%)

These papers will usually also be the oldest ones and you should know them!
@LitmapsApp 9. We have shortened our reading list

Depending on how "greedy" you are you will shorten your list by more or less.

Here I identified the 40% best papers, saving me potentially weeks.

To see how they are connected, click on "View as Map" in your "Reading List Collection".
@LitmapsApp 10. Map

The layout corresponds to our 3 parameters:

X-axis: Date of paper
Y-axis: Number of References (Reviews)
Size of circles: Number of citations.

Here you see how the papers are connected.
Identify the most "central" ones.

Start your reading with these.
@LitmapsApp 11. Access any of the papers

Click on the paper in the map or in the overview.

Notice that there is a "view source" button, it will take you directly to the journal.
@LitmapsApp 12. Export from Litmaps

You can export your list back to Zotero for example.

One reason is that Zotero can download the PDFs (open access) automatically.

The other reason is that you are taking notes in Zotero - You shouldn't ⛔️

There are better ways ⬇️
@LitmapsApp As you read, take your notes using a system - you will understand & memorise them better.

Link these notes to create a network of understanding,
rather than multi coloured PDFs.

I developed this system of note taking using @obsdmd :

@LitmapsApp @obsdmd Use a visual manager with the Obsidian Canvas feature to organise your research as well.

@LitmapsApp @obsdmd Summary

β–Ί Import your papers into @LitmapsApp
β–Ί Sort by year, reference num and cited by
β–Ί Skim the top 10% papers from each category into a reading list
β–Ί Use the map view to identify the "central" papers in the reading list.
β–Ί Take notes with a system using @obsdmd
@LitmapsApp @obsdmd There it is, I hope it's useful.

But is it? You are mostly silent – Maybe this prompt will move you to leave a few thoughts in the comments!

In my profile you can find a link to my in-depth πŸ“© newsletter as well!

And! As a follower, dozens of tutorials like this await you.

β€’ β€’ β€’

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More from @Artifexx

Jan 12
Failing to plan – is planning to fail.

Whether you start a PhD, secured a grant or have a project,
you'll probably make a plan.

As an ex-CEO I did a lot of planning.
Now I apply it to my PhD, here's how:
πŸ‘‡
#ScienceTwitter, #academicWriting Image
The first step is to zoom out as far as you can.

See your strategy. See the end goal. See each milestone.

Now zoom into your next milestone.

And make a new strategy on how to achieve just this.

Do the tasks seem doable?
Then it's time to use a board to organise yourself.

Read 6 tweets
Jan 10
Turn your research papers & PDFs into audio using AI.

It takes 1 minute with this tool, here's how:
πŸ‘‡ Image
1. Make a free Audemic account.

This is the wonderful tool we are going to use: @audemic_co.

The address is: audemic . io

It will also summarise the PDFs and possibly translate them.

Awesome, eh? Image
@audemic_co 2. You will be asked to personalise your experience.

Just enter whatever you like here – it is inconsequential. Image
Read 13 tweets
Jan 8
This is what AI can do today, #ScienceTwitter:

⏡ Discover new literature
⏡ Understand and summarise, even math
⏡ Write your papers

The game is changing – fast.

Here's my list of the 9 essential AI tools in research:
(With prices and use-cases)
πŸ‘‡
🧭 | @LitmapsApp

Discover similar papers from one ore more publications.
Will often display fewer (more relevant?) papers, compared to other apps.
Intuitively guides through the discovery process.

βœ”οΈŽ Effortless Literature Discovery
πŸ’²Free for small maps, then 10$/mo
@LitmapsApp 🧭 | @RsrchRabbit

Upload your research library and ask to find similar papers.
Very thorough and fast but results in huge amounts of results.
The software takes some time to get used to.

βœ”οΈŽ Thorough literature review
πŸ’²Free
Read 12 tweets
Jan 7
Finding 200 papers for your research is easy.

What is NOT easy:
β€’ Make sense of it πŸ€”
β€’ Finding holes in the literature πŸ•³οΈ
β€’ Making a novel contribution 😡

I just learned about "Discourse Graphs".
A super powerful, visual technique, that helps.

Here's how I use it:
πŸ‘‡
Chefs use recipes to get from ingredients to dinner.

Your ingredients: papers & books,

Your dinner: the publication.

How do we prepare, marinate, cook and arrange our ingredients to get a great publication?

That's what we need the Discourse Graph for!
1. What is it?

A visual way of thinking, developed by @joelchan86

We represent information as: a statement, claim, question or context.

We connect information e.g. "a statement can inform a question"

Just these simple rules.

Visually it looks something like this:
Read 19 tweets
Jan 6
Declining Disruption.

#ScienceTwitter is abuzz with this recently published nature article.

I read into the study and 100s of comments.
Consensus: Grants and journals are to blame.

But the authors give a much better, more personal insights.

Here's what I learned:
πŸ‘‡
πŸ’‘Define Disruption:

Suppose I publish a study S that cites X,Y,Z.

If disruptive:
Subsequent work will cite S primarily, as X,Y,Z are "obsolete".

Consolidating:
S,X,Y and Z will be cited. As all are still relevant.

They validate it using many studies from 20th century.
Reason 1: Decline in Diversity

We become "super nerds".
It makes our steps safer, but smaller.

Read "The Age of Insight" to learn how artists, psychologists and doctors all mingled in salons more than a century ago.

Maybe it's time to rediscover the connection to the arts?
Read 9 tweets
Jan 5
Tired of the same old bar graphs and line plots, #ScienceTwitter?

Here are 5 lesser-known but powerful graphical methods for visualizing your next publication.

πŸ‘‡ Image
1 – SANKEY DIAGRAM

Great for displaying dynamic processes or flows in a graph.

Example: Flow of immigrants and emigrants to and from a country.

The favourite diagram of marketers optimizing conversion rates of their customers. Image
2 – TERNARY DIAGRAM

Measured 3 components of something and they sum up to a constant (e.g. 100%)?

Then display this three dimensional data in a two dimensional triangle, without loosing any information.

Example: Soil Composition or relative sources of Income Image
Read 7 tweets

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