Resourse: A sortable table of biorxiv and medrxiv tweets and papers.
Author: Tyler J Burns
Date: November 17, 2022
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How it works:

  • Biorxiv and medrxiv preprint servers automatically tweet the title of a given paper once it is uploaded to the server.
  • This table organizes every tweet from each of these servers, which corresponds to just under 200k papers, along with the tweet metadata (eg. likes).

Tips on how to use:

  • Click on the arrows to the right of each column name to sort by the column of interest
  • Type any word or words into the search bar, and the table will be sorted be rows that contain the word or words anywhere.

Tips and examples on how to utilize:

  • To find important papers, sort by interaction metrics (eg. likes or retweets)
  • If you want the most liked articles of 2020, then type "2020" into the search bar.
  • If you want the most liked articles of 2020 pertaining to covid, then type "2020 covid" into the search bar.
  • If you want the most liked articles of December 2020 pertaining to covid from medrxiv, then type "2020-12 covid medrxivpreprint" into the search bar.
In [ ]:
# How to knit: jupyter nbconvert --to html --no-input my-notebook.ipynb
In [ ]:
import pandas as pd

bio = pd.read_csv('../data/biorxivpreprint_tweets_scraped.csv', low_memory=False)
med = pd.read_csv('../data/medrxivpreprint_tweets_scraped.csv', low_memory=False)

df = pd.concat([bio, med], ignore_index=True, sort=False)
In [ ]:
from itables import init_notebook_mode, show
import itables.options as opts
init_notebook_mode(all_interactive=True)

opts.maxBytes = 100000000

# Trim it up
df = df[['Tweet', 'Date', 'User', 'Likes', 'Retweets', 'Replies', 'Quotes']]
df
Out[ ]:
Tweet Date User Likes Retweets Replies Quotes
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