An exploratory study on the publication stages of early access articles in different bibliographic databases: A case study of IEEE journals

Currently bibliographic databases have included a large number of Early Access (EA) articles. Taking 47 IEEE journals as examples, this study analyzed and compared the differences in publication stages of EA articles in three typical bibliographic databases, including Web of Science Core Collection, Scopus, and Engineering Village Compendex. Qualitative analysis of data sets that may appear in these three databases and their publication stage modes, and quantitative analysis on the number of records, proportion, and journal distributions of each data set and each publication stage mode were conducted. There were totally 7 sub-data sets and corresponding 26 publication stage modes, with 14 "undifferentiated publication stage modes" and 12 "differentiated publication stage modes". Although the proportion of EA records from each "differentiated publication stage mode" was mostly below 1.0%, the absolute quantity of EA records with differences in the publication stage was noteworthy reaching 2516. Among the 47 journals, 23 journals have 7-8 publication stage modes, 1 journal having 18 modes, and 40 journals have one or more "differentiated publication stage modes". Therefore, in IEEE journals, whether for the same EA article or the same journal, the difference in publication stage between these three databases was pervasive and complex.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-06-11
DOI
https://doi.org/10.1371/journal.pone.0325787
Citations
1
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
1.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An exploratory study on the publication stages of early access articles in different bibliographic databases: A case study of IEEE journals

Yunu Zhu
1 citations
PLoS ONE
scientometrics and bibliometrics research
1.40
article

An exploratory study on the publication stages of early access articles in different bibliographic databases: A case study of IEEE journals

Yunu Zhu
article en
1 citations

Abstract

Currently bibliographic databases have included a large number of Early Access (EA) articles. Taking 47 IEEE journals as examples, this study analyzed and compared the differences in publication stages of EA articles in three typical bibliographic databases, including Web of Science Core Collection, Scopus, and Engineering Village Compendex. Qualitative analysis of data sets that may appear in these three databases and their publication stage modes, and quantitative analysis on the number of records, proportion, and journal distributions of each data set and each publication stage mode were conducted. There were totally 7 sub-data sets and corresponding 26 publication stage modes, with 14 "undifferentiated publication stage modes" and 12 "differentiated publication stage modes". Although the proportion of EA records from each "differentiated publication stage mode" was mostly below 1.0%, the absolute quantity of EA records with differences in the publication stage was noteworthy reaching 2516. Among the 47 journals, 23 journals have 7-8 publication stage modes, 1 journal having 18 modes, and 40 journals have one or more "differentiated publication stage modes". Therefore, in IEEE journals, whether for the same EA article or the same journal, the difference in publication stage between these three databases was pervasive and complex.

PLoS ONEVol. 20(6)
Zhejiang Library (CN)
Openalex Percentile: Top 16%
scientometrics and bibliometrics research
1.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.