This paper is in the following e-collection/theme issue:

Short Paper (28) Artificial Intelligence (1779) Machine Learning (1770) Epublishing and Open Access (98) Scientometrics, Infometrics, and Altmetrics (110)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42789, first published .
Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis

Authors of this article:

Carmelo Macri1 Author Orcid Image ;   Stephen Bacchi2 Author Orcid Image ;   Sheng Chieh Teoh2 Author Orcid Image ;   Wan Yin Lim3 Author Orcid Image ;   Lydia Lam2 Author Orcid Image ;   Sandy Patel3 Author Orcid Image ;   Mark Slee4 Author Orcid Image ;   Robert Casson2 Author Orcid Image ;   WengOnn Chan2 Author Orcid Image
Article Authors Cited by (2) Tweetations (18) Metrics
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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Evaluating the Ability of Open-Source artificial intelligence (#AI) to Predict Accepting-Journal Impac… https://t.co/msLcnQNPfp

4:42 PM · Mar 07, 2023

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Journal of Medical Internet Research Journal of Medical Internet Research @JMIR_

RT @jmirpub: New in JMIR: Evaluating the Ability of Open-Source artificial intelligence (#AI) to Predict Accepting-Journal Impact Factor an…

4:42 PM · Mar 07, 2023

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Tom Bellis Tom Bellis @tommybellis

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenf… https://t.co/8Tj1X4q94l

6:20 PM · Mar 07, 2023

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Tim Leiner Tim Leiner @MLandDL_papers

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenf… https://t.co/yQQJbatO8g

6:22 PM · Mar 07, 2023

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Asmâhidki Asmâhidki @Drasmaahidki

Interesting stunning article https://t.co/vY6DU54Jgg

1:35 PM · Mar 08, 2023

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Peter Suber (@petersuber@fediscience.org) Peter Suber (@petersuber@fediscience.org) @petersuber

Update. #AI is now pretty good at using article abstracts to predict the journal impact factor (#JIF) and… https://t.co/poPd8xEcdK

6:03 PM · Mar 08, 2023

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Open Access Tracking Project @oatp@fediscience.org Open Access Tracking Project @oatp@fediscience.org @oatp

Journal of Medical Internet Research - Evaluating the Ability of Open-Source Artificial Intelligence to Predict Acc… https://t.co/RI4XkP7A4p

6:05 PM · Mar 08, 2023

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Ash Paul Ash Paul @pash22

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenf… https://t.co/8DkJ4Tu6rS

6:48 PM · Mar 08, 2023

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Open Infrastructure Tracking Project Open Infrastructure Tracking Project @oitp_ioi

Journal of Medical Internet Research - Evaluating the Ability of Open-Source Artificial Intelligence to Predict Acc… https://t.co/pi3FR9WJFV

10:04 PM · Mar 08, 2023

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Lisa Janicke Hinchliffe Lisa Janicke Hinchliffe @lisalibrarian

This is pretty fascinating https://t.co/chgTQJZfju

11:07 PM · Mar 08, 2023

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Claire Sewell Claire Sewell @ces43

RT @petersuber: Update. #AI is now pretty good at using article abstracts to predict the journal impact factor (#JIF) and #eigenfactor of t…

11:13 PM · Mar 08, 2023

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Nancy R. Curtis Nancy R. Curtis @oponiak

RT @petersuber: Update. #AI is now pretty good at using article abstracts to predict the journal impact factor (#JIF) and #eigenfactor of t…

3:33 AM · Mar 09, 2023

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HWiesenmueller@openbiblio.social ???????????? HWiesenmueller@openbiblio.social ???????????? @HWiesenmueller

RT @lisalibrarian: This is pretty fascinating

5:24 AM · Mar 09, 2023

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Bongani Mayosi Health Sciences Library (BMHSL) Bongani Mayosi Health Sciences Library (BMHSL) @uct_bmhsl

RT @pash22: Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score…

1:03 PM · Mar 09, 2023

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ICH Library ICH Library @UCT_ICHLibrary

RT @pash22: Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score…

4:33 PM · Mar 09, 2023

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Aileen McHugh Aileen McHugh @amchugh760

RT @petersuber: Update. #AI is now pretty good at using article abstracts to predict the journal impact factor (#JIF) and #eigenfactor of t…

7:03 PM · Mar 09, 2023

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Richard Poynder Richard Poynder @RickyPo

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenf… https://t.co/F6VshCKqRS

6:26 AM · Mar 10, 2023

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Ndocist ???? Ndocist ???? @NDocist

RT @RickyPo: Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score…

6:27 AM · Mar 10, 2023

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Akabana Consulting Akabana Consulting @akabconsulting

RT @petersuber: Update. #AI is now pretty good at using article abstracts to predict the journal impact factor (#JIF) and #eigenfactor of t…

9:54 AM · Mar 13, 2023

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JMIR Publications JMIR Publications @jmirpub

RT @pash22: Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score…

2:36 PM · Mar 13, 2023

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