Predicting the number of article citations in the field of attention-deficit/hyperactivity disorder (ADHD) with the 100 top-cited articles since 2014: a bibliometric analysis

Chien-Ho, Lin; Chien, Tsair‐Wei; Yan, Yu‐Hua

doi:10.1186/s12991-021-00329-3

Cited by 21 publications

(28 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, it is fair to say that research on EDs from Australia and New Zealand is as active as that in Europe and North America. Finally, the total number of publications from other five regions (i.e., Latin America and the Caribbean, Northern Africa and Western Asia, Central and Southern Asia, Sub-Saharan Africa, Oceania excluding Australia and New Zealand) only accounted for 9% of the total, consistent with findings from other bibliometric analyses examining psychiatric conditions, such as bipolar affective disorders (Vogelzang et al, 2012) and attentiondeficit hyperactivity disorder (Lin et al, 2021). Regarding the collaborations among countries, two clear collaborating networks emerged: the European network and the international network.…”

Section: Discussionsupporting

confidence: 83%

The landscape of eating disorders research: A 40‐year bibliometric analysis

Kang

Sun

et al. 2022

Euro Eating Disorders Rev

View full text Add to dashboard Cite

Objective: Employing bibliometric methods, the present study aimed to map out the general landscape of existing research on eating disorders (EDs) over the past decades. Method: Using the Web of Science database, we retrieved 41,917 research articles related to EDs published from 1981 to 2020. After removing those without an abstract, a total of 37,446 articles were retained. The study outlined the distribution of scholarship by time, languages, regions, and countries, and identified major research lines by applying latent topic modelling. Results: Results revealed a general increasing trend in the number of publications on EDs research, and researchers from Western countries dominated the production of related scholarship. The distribution of published scholarship varied significantly by languages, regions, and countries. Seven main research topics emerged from past research (i.e., animal studies of food intake, risk factors and at-risk groups for eating disorders, body image in eating disorders, studies of cognition and brain in eating disorders, symptomatology and comorbidity of eating disorders, body weight and nutrition status in eating disorders, and treatment of eating disorders), with different topics showing unique research trends across the years. Conclusions: This bibliometric analysis presents the most complete up-to-date overview on published research on EDs. While there is an increasing trend for EDs research, the available research evidence is generally from Western countries; thus, it is suggested that cooperation on EDs research should be strengthened between Western countries and other countries in the future.

show abstract

Section: Discussionsupporting

confidence: 83%

The landscape of eating disorders research: A 40‐year bibliometric analysis

Kang

Sun

et al. 2022

Euro Eating Disorders Rev

View full text Add to dashboard Cite

show abstract

“…Nevertheless, none of the studies used the WoS (or Publemed) database to explore influential entities with alluvial plots, as we did in Figures 5 to 7. In contrast to previous findings, [20] the top 3 countries (the US, UK, and Netherlands) differed in terms of article sources from databases (e.g., PubMed vs WoS). Only 24 articles [20] were included in the T100ADHD based on the PubMed database.…”

Section: Additional Informationcontrasting

confidence: 99%

“…In contrast to previous findings, [20] the top 3 countries (the US, UK, and Netherlands) differed in terms of article sources from databases (e.g., PubMed vs WoS). Only 24 articles [20] were included in the T100ADHD based on the PubMed database.…”

Section: Additional Informationcontrasting

confidence: 99%

Using the alluvial plot to visualize the network characteristics of 100 top-cited articles on attention-deficit/hyperactivity disorder (ADHD) since 2011: Bibliometric analysis

Tsai

Chien

et al. 2022

Medicine

Self Cite

View full text Add to dashboard Cite

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common neuro developmental disorder that affects children and adolescents. It is estimated that the prevalence of ADHD is 7.2% throughout the world. There have been a number of articles published in the literature related to ADHD. However, it remains unclear which countries, journals, subject categories, and articles have the greatest influence. The purpose of this study was to display influential entities in 100 top-cited ADHD-related articles (T100ADHD) on an alluvial plot and apply alluvial to better understand the network characteristics of T100ADHD across entities. Methods: Using the PubMed and Web of Science (WoS) databases, T100ADHD data since 2011 were downloaded. The dominant entities were compared using alluvial plots based on citation analysis. Based on medical subject headings (MeSH terms) and research areas extracted from PubMed and WoS, social network analysis (SNA) was performed to classify subject categories. To examine the difference in article citations among subject categories and the predictive power of MeSH terms on article citations in T100ADHD, one-way analysis of variance and regression analysis were used. Results: The top 3 countries (the United States, the United Kingdom, and the Netherlands) accounted for 75% of T100ADHD. The most citations per article were earned by Brazil (=415.33). The overall impact factor (IF = citations per 100) of the T100ADHD series is 188.24. The most cited article was written by Polanczyk et al from Brazil, with 772 citations since 2014. The majority of the articles were published and cited in Biol Psychiatry (13%; IF = 174.15). The SNA was used to categorize 6 subject areas. On the alluvial plots, T100ADHD’s network characteristics were successfully displayed. There was no difference in article citations among subject categories (F = 1.19, P = .320). The most frequently occurring MeSH terms were physiopathology, diagnosis, and epidemiology. A significant correlation was observed between MeSH terms and the number of article citations (F = 25.36; P < .001). Conclusion: Drawing the alluvial plot to display network characteristics in T100ADHD was a breakthrough. Article subject categories can be classified using MeSH terms to predict T100ADHD citations. Bibliometric analyses of 100 top-cited articles can be conducted in the future.

show abstract

“…The correlation coefficient was 0.45 between the MeSH weights and citation counts in this PVBA100, revealing that MeSH terms were evident in prediction power on the number of article citations, similar to the findings in previous studies. [29][30][31]…”

Section: Using Mesh Terms To Predict Article Citations In Bibliometricsmentioning

confidence: 99%

Predicting article citations using data from 100 top-cited publications in the field of Psoriasis Vulgaris and biological agents (PVBA) since 1991: A bibliometric analysis

Chen

Chien

et al. 2022

Medicine

Self Cite

View full text Add to dashboard Cite

Background: Psoriasis Vulgaris is a chronic inflammatory disease characterized by keratinocyte hyperproliferation. Bibliometric analysis helps determine the most influential article on the topic of "Psoriasis Vulgaris and biological agents (PVBAs)", and what factors affect article citation remain unclear. This study aims (1) to identify the top 100 most cited articles in PVBA (PVBA100 for short) from 1991 to 2020, (2) to visualize dominant entities on one diagram using data in PVBA100, and (3) to investigate whether medical subject headings (MeSH terms) can be used to predict article citations.Methods: The top 100 most cited articles relevant to PVBA (1991PVBA ( -2020 were downloaded by searching the PubMed database. Citation analysis was applied to compare the dominant roles in article types and topic categories using pyramid plots. Social network analysis (SNA) and Sankey diagrams were applied to highlight prominent entities. We examined the MeSH prediction effect on article citations using its correlation coefficients.Results: The most frequent article types and topic categories were research support by institutes (46%) and drug therapy (88%), respectively. The most productive countries were the United States (38%), followed by Germany (13%) and Japan (12%). Most articles were published in Br J Dermatol (13%) and J Invest Dermatol (11%). MeSH terms were evident in the prediction power of the number of article citations (correlation coefficient=0.45, t=4.99). Conclusions:The breakthrough was made by developing one dashboard to display PVBA100. MeSH terms can be used for predicting article citations in PVBA100. These visualizations of PVBA100 could be applied to future academic pursuits and applications in other academic disciplines.

show abstract

Predicting the number of article citations in the field of attention-deficit/hyperactivity disorder (ADHD) with the 100 top-cited articles since 2014: a bibliometric analysis

Cited by 21 publications

References 33 publications

The landscape of eating disorders research: A 40‐year bibliometric analysis

The landscape of eating disorders research: A 40‐year bibliometric analysis

Using the alluvial plot to visualize the network characteristics of 100 top-cited articles on attention-deficit/hyperactivity disorder (ADHD) since 2011: Bibliometric analysis

Predicting article citations using data from 100 top-cited publications in the field of Psoriasis Vulgaris and biological agents (PVBA) since 1991: A bibliometric analysis

Contact Info

Product

Resources

About