Scientometric Assessment of India’s Migraine Research Publications during 2006-15

Gupta, Ritu; Gupta, Bindiya; Bansal, Jivesh; Kumar, Ashok

doi:10.5530/jyp.2016.4.2

Cited by 3 publications

(3 citation statements)

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“…At the document-type level within journals, most of the B/P papers are "Articles" (Article, Original paper, Original research, Research article) or "Reviews" (Review, Comprehensive review, Topical review, Mini review). However, several B/P papers are presented under other labels such as "Meta-analysis" (60,93,167), "Short communications" (26), "Letters" (14), "Virtual project" (195), "Correspondence" (192), or "Editorial" (24).…”

Section: Journal Impact Factor (Jif) or Impact Factor (If)mentioning

confidence: 99%

Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls

Robert

Wilson²

2023

Front. Pain Res.

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During the last decades, the emergence of Bibliometrics and the progress in Pain research have led to a proliferation of bibliometric studies on the medical and scientific literature of pain (B/P). This study charts the evolution of the B/P literature published during the last 30 years. Using various searching techniques, 189 B/P studies published from 1993 to August 2022 were collected for analysis—half were published since 2018. Most of the selected B/P publications use classic bibliometric analysis of Pain in toto, while some focus on specific types of Pain with Headache/Migraine, Low Back Pain, Chronic Pain, and Cancer Pain dominating. Each study is characterized by the origin (geographical, economical, institutional, …) and the medical/scientific context over a specified time span to provide a detailed landscape of the Pain research literature. Some B/P studies have been developed to pinpoint difficulties in appropriately identifying the Pain literature or to highlight some general publishing pitfalls. Having observed that most of the recent B/P studies have integrated newly emergent software visualization tools (SVTs), we found an increase of anomalies and suggest that readers exercise caution when interpreting results in the B/P literature details.

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Section: Journal Impact Factor (Jif) or Impact Factor (If)mentioning

confidence: 99%

Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls

Robert

Wilson²

2023

Front. Pain Res.

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“…Robert et al documented productivity by country and the growth of headache literature from 1983 to 2014 2 . Gupta et al compiled the most productive authors, subfield breakdowns, and highly cited journals and papers from to 2015 in Indian migraine publications 3 . However, none of these studies were intended to explore interdisciplinary influence—in fact, by using database keywords or topic searches for “migraine” or “headache,” non‐headache literature was likely systematically excluded.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Interdisciplinary influences in headache literature: A network citation analysis of PubMed Central articles

Zhang

Cheng

2020

Headache

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Background: Non-headache literature inevitably influences headache research, but the way this interdisciplinary interaction occurs has seldom been evaluated. Objective: Utilizing network analysis techniques within the PubMed Central (PMC) database, we illustrate a novel method by which to identify and characterize the important non-headache literature with significant impact within the headache world. Methods: Using the National Center for Biotechnology Information E-utilities application programing interface and custom backend software, all PMC articles containing the words "headache(s)" and/or "migraine(s)" in the title were identified. This generated a list of "seed articles" to represent the body of primary headache literature. Articles referenced by the seeds were then found, generating the list of articles with one degree of separation from the seeds (first-degree neighbors). This was iterated twice more to find the second-and third-degree neighbors. A directed network graph was generated for each level of separation using these articles and their referential connections. The hyperlink-induced topic search (HITS) and PageRank algorithms were used on these graphs to find the top 50 articles in the network (hub and authority rank via HITS, general rank via PageRank). Removing seed articles from the ranked lists left the influential non-headache articles at each level of separation. Results: We extracted 6890 seed articles. The first-, second-, and third-degree models contained 16,451, 105,496, and 431,748 articles, respectively. As expected, most first-degree neighbors were part of the seed group (headache literature). Using HITS, at the second degree, only two seed articles were found in the top 50 hubs (none in the authorities); the majority of non-seed articles were basic neuroscience, involving ion channel function or cell signaling. At the third degree, there were no seeds and all articles involved imaging/structure of brain connectivity networks. PageRank gave more varied results, with 35/50 second-degree articles being seeds, and the remainder a mixture of articles describing rating scales (3), epidemiology/disease burden (3), basic statistical/trial methods (3), and mixed basic science (6). At the third degree, five were seeds; non-seed articles were represented heavily by genomic mapping studies, brain connectivity networks, and ion channel/neurotransmitter studies. Conclusion: This work demonstrates the value of network citation analysis in the identification of interdisciplinary influences on headache medicine. Articles found with

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“…The study found that 39.86% of studies on pain in children, conducted between 1975 and 2010 12 , were about types of pain, 37.49% were about pain applications, and 25% were about pain evaluations. Additionally, the most cited articles about pain 13 ) have been analyzed using bibliometric methods on types of pain, such as acupuncture studies 14 , orofacial pain research production 15 ) and migraine research studies 16 .…”

Section: Introductionmentioning

confidence: 99%

Scientometric overview of nursing research on pain management

Damar

Bilik

Özdağoğlu

et al. 2018

Rev. Latino-Am. Enfermagem

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Objective:to analyse research articles on pain and nursing issues using bibliometric and scientometric methodologies. Method:articles in the Web of Science database containing pain and nurse and pain and nursing were analyzed using scientometric methods through data visualization techniques and advanced text analytics. Result:among the 107,559 research articles found in the field of nursing, 3,976 of them were written based on the keywords pain and nursing, and were considered in conformity with the scope of this study. Preliminary analyses indicated that the publications have increased through the years with minor fluctuations. Titles, keywords, and abstracts were analyzed through text analytics to reveal keyword clusters and topic structures. Studies on oncology and pain in the field of nursing have a relatively higher frequency. Conclusion:the results of the analyses revealed the characteristics of the current literature in a broad range of areas by considering the particular dimensions. Therefore, the findings may support present and future research in this field by shedding light on the networks, trends, and contents in the related literature.

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Scientometric Assessment of India’s Migraine Research Publications during 2006-15

Cited by 3 publications

References 0 publications

Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls

Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls

Interdisciplinary influences in headache literature: A network citation analysis of PubMed Central articles

Scientometric overview of nursing research on pain management

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