Olesia Nikulina Profile picture
Dec 4, 2022 9 tweets 7 min read Read on X
Writing a literature review can be overwhelming...

These tools will help you with each review part: from keyword selection to reporting 🪡

#AcademicTwitter #AcademicChatter #phdvoice #phd #phdchat #litreview #OpenScience #litreview
1. Formulate your query

Formulate your search strings in a transparent, easy-to-understand, and scalable way at 2dsearch.com

It shows a visual representation of your search string and converts it to fit any database of your choice Image
2. Explore the whole research domain

Already have a seminal article and want to dig further?

Use iris.ai to build a comprehensive knowledge graph specific to your domain

Simply insert an article's url and enjoy the structured and comprehensive outcome Image
You may also find useful my earlier thread on AI-based tools for lit review:

3. Get the article's citation network

For article-based analysis, use the local citation network (timwoelfle.github.io/Local-Citation…) to see the whole citation (and co-authorship) network of a study

Paste DOI of an article you'd like a network for, and enjoy Image
4. Check what part of the article is most cited and with which sentiment

scite.ai shows the statements in which the article has been cited and estimates whether citing authors supported or negated the argument Image
5. Analyze the collected articles

Even if you have no experience in text mining, GATE (gate.ac.uk) will help you analyze the articles for lit review and solve almost any text-processing problem

Read their user guide for a smooth start Image
6. Report your lit review findings

Bit.ai is a cloud-based platform that allows you to store relevant research and share it with your co-authors in real time

Is it better than google drive? Not entirely sure but give it a try Image
To sum up:

1. Query with @2d_search
2. Research domain summary with @TheIrisAI
3. Citation network with local citation network (@timwoelfle)
4. Article citations with @scite
5. Text-mining with GATE
6. Reporting with @Bit_docs

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More from @ol_nikulina

Dec 7, 2022
Academic research gets easier day by day. All thanks to AI tools like @scispace_ co-pilot 👩‍✈️

Co-pilot can instantly answer your questions and simply explain scientific concepts as you read

Here’s how to get the most out of it:
(scroll for a giveaway!)

#OpenScience #phdplace
1⃣ Go to the main page of SciSpace (typeset.io) and type your keywords
2⃣ Find all the articles that match your keywords and see their comprehensive summaries

If you're doing a lit review, it's a perfect way to explore a pre-selected paper without reading its full text
Read 15 tweets
Nov 13, 2022
Writing a literature review is not rocket science. Most scholars just don’t know where to start 🚀

Here’re four tools that will help you turn a literature review into an enjoyable process:

#AcademicTwitter #AcademicChatter #phdvoice #phd #phdchat #litreview
🔺 litmaps.com: shows you all the articles on your topic and cross-citation. Search using keywords, DOI, titles, and authors to visualize your field of interest
🔺 openknowledgemaps.org: comprehensively maps your research topic by 1) showing the main research streams within it, 2) identifying all relevant concepts and terms, and 3) clustering similar articles to make learning easier. It's a must!
Read 6 tweets
Nov 8, 2022
In the last 6 months

I spoke with >100 PhD candidates from different unis, fields, and at different stages of their journey 🎓

Here is the list of the common problems we experience to convince you you're not alone (+ tips on how to deal with them):

PART I

#phdvoice #phdchat
1. No onboarding, having to piece together all the info
How do the printers work? What is FAIR data? For most of us, there was no comprehensive onboarding that'd explain how the academic environment works
💡Tip: team up with a more senior PhD student to get some lifehacks
2. Feeling frustrated, lost, lacking progress
Most of us have to define the project ourselves. An overwhelming amount of information and no clear "rules of the game" take their toll
💡Tip: narrow down, define your niche, read the best articles from your field, get feedback early
Read 7 tweets
Nov 6, 2022
Academic writing is a superpower. It's a key to publishing, getting a new job or tenure, and becoming known in the field

These 10 AI-powered websites will help you with EVERY part of your manuscript and will save you 100+ hours:

#openscience #AcademicTwitter #phdvoice #phdchat
1. Title: level up your article title at headlines.coschedule.com
2. Abstract: summarise your academic article into one paragraph using 1) upword.ai, 2) summari.com, or 3) paper-digest.com (academia-specific)
Read 9 tweets
Nov 4, 2022
I've designed more >10K slides over the last five years.

Here is the exhaustive list of sources I used to make them stand out, from templates to AI-generated music:

#presentation #academicpresentation #AcademicTwitter #openscience #phdchat
Choose one of the many customizable templates and go beyond powerpoint slides:
Substitute text with visuals. Find a relevant stock photo for free on one of these platforms:


Bonus: remove the watermark from any image here: watermarkremover.io
Read 8 tweets
Oct 28, 2022
#Marketing scholars! Marketing research priorities for 2022-2024 are out 👇 Simplified version with examples of research questions below:

#AcademicTwitter #AcademicChatter #OpenScience #phdvoice #phdchat #phdforum #research #researchers
1⃣ Data challenges: new privacy regulations, no access to third-party cookies, and new post-covid advertising models
Some research questions to look at:

• What business models can help companies adapt to changing privacy policies?
• What available data (e.g., search data) should firms use to improve targeting?
• Can firms optimally combine pre and post covid advertising models?
Read 18 tweets

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