TY - JOUR
T1 - Exploring the use of ChatGPT in OBGYN
T2 - a bibliometric analysis of the first ChatGPT-related publications
AU - Levin, Gabriel
AU - Brezinov, Yoav
AU - Meyer, Raanan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/12
Y1 - 2023/12
N2 - Purpose: Little is known about the scientific literature regarding the new revolutionary tool, ChatGPT. We aim to perform a bibliometric analysis to identify ChatGPT-related publications in obstetrics and gynecology (OBGYN). Study design: A bibliometric study through PubMed database. We mined all ChatGPT-related publications using the search term “ChatGPT”. Bibliometric data were obtained from the iCite database. We performed a descriptive analysis. We further compared IF among publications describing a study vs. other publications. Results: Overall, 42 ChatGPT-related publications were published across 26 different journals during 69 days. Most publications were editorials (52%) and news/briefing (22%), with only one (2%) research article identified. Five (12%) publications described a study performed. No ChatGPT-related publications in OBGYN were found. The leading journal by the number of publications was Nature (24%), followed by Lancet Digital Health and Radiology (7%, for both). The main subjects of publications were ChatGPT’s scientific writing quality (26%) and a description of ChatGPT (26%) followed by tested performance of ChatGPT (14%), authorship and ethical issues (10% for both topics).In a comparison of publications describing a study performed (n = 5) vs. other publications (n = 37), mean IF was lower in the study-publications (mean 6.25 ± 0 vs. 25.4 ± 21.6, p <.001). Conclusions: The study highlights main trends in ChatGPT-related publications. OBGYN is yet to be represented in this literature.
AB - Purpose: Little is known about the scientific literature regarding the new revolutionary tool, ChatGPT. We aim to perform a bibliometric analysis to identify ChatGPT-related publications in obstetrics and gynecology (OBGYN). Study design: A bibliometric study through PubMed database. We mined all ChatGPT-related publications using the search term “ChatGPT”. Bibliometric data were obtained from the iCite database. We performed a descriptive analysis. We further compared IF among publications describing a study vs. other publications. Results: Overall, 42 ChatGPT-related publications were published across 26 different journals during 69 days. Most publications were editorials (52%) and news/briefing (22%), with only one (2%) research article identified. Five (12%) publications described a study performed. No ChatGPT-related publications in OBGYN were found. The leading journal by the number of publications was Nature (24%), followed by Lancet Digital Health and Radiology (7%, for both). The main subjects of publications were ChatGPT’s scientific writing quality (26%) and a description of ChatGPT (26%) followed by tested performance of ChatGPT (14%), authorship and ethical issues (10% for both topics).In a comparison of publications describing a study performed (n = 5) vs. other publications (n = 37), mean IF was lower in the study-publications (mean 6.25 ± 0 vs. 25.4 ± 21.6, p <.001). Conclusions: The study highlights main trends in ChatGPT-related publications. OBGYN is yet to be represented in this literature.
KW - Artificial intelligence
KW - Bibliometrics
KW - ChatGPT
KW - OBGYN literature
KW - Research
UR - http://www.scopus.com/inward/record.url?scp=85160274793&partnerID=8YFLogxK
U2 - 10.1007/s00404-023-07081-x
DO - 10.1007/s00404-023-07081-x
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C2 - 37222839
AN - SCOPUS:85160274793
SN - 0932-0067
VL - 308
SP - 1785
EP - 1789
JO - Archives of Gynecology and Obstetrics
JF - Archives of Gynecology and Obstetrics
IS - 6
ER -