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Highly tweeted endodontic articles: a network analysis and machine learning perspective

Kolahi, J.; Khazaei, S.; Iranmanesh, P.

2020-04-03 dentistry and oral medicine
10.1101/2020.03.29.20046755 medRxiv
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IntroductionTo identify active journals, authors, institutions and hot topics in the field of Endodontics within the Twittersphere. MethodsOn December 23, 2019, the Altmetric database was searched using the titles of 11 endodontic journals. The bibliometric data of the top 5% of endodontic articles with the highest tweets number were extracted from the Web of Science and analyzed. ResultsOverall, 3,918 tweets (from 3,881 individual posts) related to endodontic articles from seven journals were identified, which were mostly from the U.S. The Journal of Endodontics received the most tweets. Systematic review and apical periodontitis were the most popular keywords. At the author level, Dummer PMH and Patel S and at institution level Kings College London and Cardiff University, had the largest number of popular articles in the Twittersphere. The number of tweets was not correlated with citations (r=0.007, P=0.929). No statistically significant differences were found between open access (n=41, Mean=11.19) and non-open access (n=136, Mean=9.38) articles regarding the number of tweets (P=0.648). ConclusionsIn the Twittersphere, the overall activity of endodontic journals and associations were low. They could be more active and increase their visibility and social impact by immediately sharing research outcomes and communicating with peers, practitioners, and patients.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.