A Bibliometric Analysis of Citation Classics in the Journal of Ultrasound in Medicine

Bibliometric analysis: A few suggestions

In an era marked by the exponential growth of scientific production, bibliometric analysis (BA) has emerged as indispensable tool for understanding the dynamics of research fields. In this review, we tried to provide a few tips which can be incorporated in BA. For instance; (a) solely presenting the number of publications per year is not an ideal approach. There is need to provide (at least) per-year citations and the total h-index of all publications, which may offer more nuanced and informative perspective on research productivity and influence. (b) traditionally, a researcher's performance has been assessed primarily through the number of publications and the h-index. While these metrics offer valuable insights into scholarly output and citation impact, this review aims to broaden the perspective on researcher evaluation by exploring a diverse array of alternative performance indicators. (c) co-word occurrence analysis has been a cornerstone for identifying thematic relationships among publications. We presented a few simple concepts i.e. keywords dynamic, and trends alongside traditional co-word analysis. The normal procedure of BA involves, data collection, publication trends, authorship and collaboration, citation analysis, keyword analysis, geographical and institutional trends, journal analysis, research impact, and visualization. We tried to provide some theoretical foundation, which may help the readers understand the context and principles behind the analysis.

Fifty years of the Journal of Perinatal Medicine: an altmetric and bibliometric study

OBJECTIVES

To apply scientometric methodology to characterize influential articles in the Journal of Perinatal Medicine (JPM).

METHODS

We performed a cross-sectional study of all JPM articles indexed in Clarivate Web of Science (WOS), NIH Open Citation Collection, and Altmetric Explorer databases (1973-2022). We identified articles cited ≥100 times in WOS and articles with highest Relative Citation Ratios (RCR, a metric of influence based on citations) and highest Altmetric Attention Scores (AAS, a metric of engagement with social media and public platforms). We performed descriptive analysis to characterize influential articles based on citation rates vs. highest AAS, and quantile regression with bootstrapping to estimate the median differences (95% confidence intervals).

RESULTS

We identified 4095 JPM articles that were indexed in the WOS, of which 3,959 (96.7%) had RCRs and 939 (22.9%) had AASs. The study cohort included 34 articles cited ≥100 times and the 34 top-RCR and 34 top-AAS articles, representing 83 unique articles. These influential articles had median 67 citations (IQR 17-114), median RCR 3.4 (IQR 1.7-5.0), and median AAS 14 (IQR 3-28). The majority were observational studies and reviews. Compared to top-AAS articles, top-cited articles had higher median citations (117 [IQR 111-147] vs. 13 [IQR 5-62]; median difference 104.0, 95% CI 86.6-121.4) and citations per year (7.3 [IQR 4.9-10.6] vs. 2.3 [0.7-4.6]; median difference 5.5 [95% CI 3.1-7.9]). Results were similar for top-RCR vs. top-AAS articles.

CONCLUSIONS

We identified influential articles during 50 years of JPM, providing insight into the impact of the journal and providing a template for future studies of academic journals.

A Bibliometric Analysis of Research Articles on Midwifery Based on the Web of Science

Objective

This study aimed to bibliometrically analyse the main features of the 100 top-cited articles on the midwifery index on the Web of Science.

Methods

Academic articles on midwifery' research published from 1985 to 2020 were included. VOSviewer 1.6.15, SPSS 22.0 software and a homemade applet were used to identify, analyse and visualise the citation ranking, publication year, journal, country and organisation of origin, authorship, journal impact factor and keywords along with the total link strength of countries, organisations and keywords.

Results

Among the 100 top-cited articles, the highest number of citations of the retrieved articles was 484. The median number of citations per year was 5.16 (interquartile range: 3.74-8.38). Almost two-thirds of the included articles (n = 61) centred on nursing and obstetrics/gynaecology. The top-cited articles were published in 38 different journals, the highest number of which was published by Midwifery (15%). Australia was the most productive country (24%). According to the total link strength, the sequence ran from the United States (28) to England (28) to Australia (19). The University of Technology Sydney and La Trobe University in Australia topped the list with four papers each. Hunter B was the most productive author (n = 4), and the average citations were positively related to the number of authors (r = 0.336, p < 0.05).

Conclusion

This study identified the most influential articles on midwifery and documented the core journals and the most productive countries, organisations and authors along with future research hotspots for this field; the findings may be beneficial to researchers in their publication and scientific cooperation endeavours.

Predicting article citations using data of 100 top-cited publications in the journal Medicine since 2011: A bibliometric analysis

BACKGROUND

Publications regarding the 100 top-cited articles in a given discipline are common, but studies reporting the association between article topics and their citations are lacking. Whether or not reviews and original articles have a higher impact factor than case reports is a point for verification in this study. In addition, article topics that can be used for predicting citations have not been analyzed. Thus, this study aims to METHODS:: We searched PubMed Central and downloaded 100 top-cited abstracts in the journal Medicine (Baltimore) since 2011. Four article types and 7 topic categories (denoted by MeSH terms) were extracted from abstracts. Contributors to these 100 top-cited articles were analyzed. Social network analysis and Sankey diagram analysis were performed to identify influential article types and topic categories. MeSH terms were applied to predict the number of article citations. We then examined the prediction power with the correlation coefficients between MeSH weights and article citations.

RESULTS

The citation counts for the 100 articles ranged from 24 to 127, with an average of 39.1 citations. The most frequent article types were journal articles (82%) and comparative studies (10%), and the most frequent topics were epidemiology (48%) and blood and immunology (36%). The most productive countries were the United States (24%) and China (23%). The most cited article (PDID = 27258521) with a count of 135 was written by Dr Shang from Shandong Provincial Hospital Affiliated to Shandong University (China) in 2016. MeSH terms were evident in the prediction power of the number of article citations (correlation coefficients  = 0.49, t = 5.62).

CONCLUSION

The breakthrough was made by developing dashboards showing the overall concept of the 100 top-cited articles using the Sankey diagram. MeSH terms can be used for predicting article citations. Analyzing the 100 top-cited articles could help future academic pursuits and applications in other academic disciplines.