Evidence map›Paper›PMID 38107535›Full record

ArticleBasic and clinical neuroscience

Research Focuses and Trends in Multiple Sclerosis: A Scientometric Analysis.

Yuh-Shan Ho, Maryam Shekofteh, Abdorreza Naser Moghadasi

Abstract read
In one paragraph

Article in Basic and clinical neuroscience. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yuh-Shan HoTrend Research Centre, Asia University, Taichung, Taiwan.ORCID 0000-0002-2557-8736
Maryam ShekoftehDepartment of Medical Library and Information Science, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-1079-4583
Abdorreza Naser MoghadasiMultiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-8598-0911

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study is to analyze the multiple sclerosis research in Science Citation Index-Expanded from 1992 to 2019 in order to determine the top features, trends, and topics. Methods: In this scientometric study, research population was all articles related to multiple sclerosis in the Web of Science from 1992 to 2019. These articles were retrieved from the Science Citation Index-Expanded and analyzed based on various indicators and characteristics. Results: There was a significant increase in the number of articles from 408 in 1992 to 2756 in 2019. A sum of 42,112 articles related to multiple sclerosis has been published in 3,032 journals, which were classified among the 131 Web of Science categories. The top two categories were clinical neurology and neurosciences. Multiple Sclerosis Journal published the most articles. Articles published in the Neurology Journal also had the highest citation per publication. Most of the articles were in English, while 23 other languages were used in the articles. Articles in Japanese and English with 7 and 6.9 authors have a higher average of authors than articles in other languages. English language articles received more citations than articles in other languages. The frequency of used keywords in title, abstract, author keywords, and keywords plus analysis showed that "therapy", "disability", "neurodegeneration", "demyelination" and "MRI" show an increasing trend in the multiple sclerosis articles. Conclusion: The result of this study can help the policy makers and researchers realize the panorama of multiple sclerosis research and design future research. Highlights: The number of multiple sclerosis (MS) articles shows a growing trend, from 1992 to 2019.MS is being studied by researchers worldwide in the articles with 23 different languages.Symptoms, diagnosis, the ways to reduce symptoms, models, and epidemiology are main categories of MS articles.The main foci and trend in MS articles, is "therapy" of the disease. Plain Language Summary: In this article we studied the features, trends and topics of MS articles from 1992 to 2019. The 42.112 articles retrieved from the web of Sciences database and analyzed. We found that the number of articles increased from 408 in 1992 to 2756 in 2019. These articles have been published in 3032 journals in 23 languages, shows that this subject is an important subject all around the world. We studied the frequency of used keywords in articles and found that some keywords such as "therapy", "disability", "neurodegeneration", "demyelination" and "MRI" show an increasing trend. Between them, therapy is the most frequent keyword. This shows that this subject is very important for researchers and they are working hard on it. We also studied the main categories of MS articles and found that the research on MS is concentrated around five main categories: symptoms, diagnosis, the ways to reduce the symptoms of the disease such as therapy or rehabilitation, and prevalence of the MS. The results of this study can help the researchers and policy makers realize the panorama of multiple sclerosis research and design future research.

Indexed as

Multiple sclerosisScientometricsWeb of science core collectionWord analysisWord cluster

Identifiers

PMID38107535
PMCPMC10719971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.