Exploring the capabilities of ChatGPT in academic research recommendation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A96308" target="_blank" >RIV/60460709:41110/23:96308 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.resuscitation.2023.109795" target="_blank" >https://doi.org/10.1016/j.resuscitation.2023.109795</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.resuscitation.2023.109795" target="_blank" >10.1016/j.resuscitation.2023.109795</a>
Alternative languages
Result language
angličtina
Original language name
Exploring the capabilities of ChatGPT in academic research recommendation
Original language description
This article evaluates ChatGPT's ability to recommend appropriate journals for cardiopulmonary resuscitation (CPR) research. The authors tested ChatGPT multiple times with a specific prompt and found consistent recommendations, with the journal 'Resuscitation' frequently suggested. Other journals were also recommended with varying frequency. The test showed ChatGPT's potential as a useful tool for academic research, suggesting it reliably identifies relevant journals for CPR studies without providing any false journal names. However, the authors note that further testing is necessary to confirm these findings.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30221 - Critical care medicine and Emergency medicine
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
RESUSCITATION
ISSN
0300-9572
e-ISSN
0300-9572
Volume of the periodical
187
Issue of the periodical within the volume
109795
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
2
Pages from-to
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UT code for WoS article
000986767900001
EID of the result in the Scopus database
2-s2.0-85152729423