Evidence map›Paper›PMID 28906350›Full record

ArticleMedicine2017

The hundred most-cited publications in microbiota of diabetes research: A bibliometric analysis.

Jiaxing Tian, Min Li, Fengmei Lian, Xiaolin Tong

Abstract read
In one paragraph

Article in Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

4 authors.

Jiaxing TianDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Min Li
Fengmei Lian
Xiaolin Tong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBibliometric analysis is an approach to evaluate the circumstances and trends in specific research field over time and to provide inspiration in future research and policy. Researches have a tremendous increase focus on the role of the microbiota in the development of diabetes in recent years; however, there is no published literature conducting a bibliometric analysis to explore the tendency. The aim of this study was to provide a detailed evaluation of the hundred most cited articles in microbiota of diabetes research.

methodsThe database of the Web of Science was utilized for identification of articles. The top 100 were selected for further analysis of authorship, number of citations, article type, source journal, geographic origin, and interactions.

resultsThe articles selected were published from 2007 to 2015. The total citations ranged from 1289 to 35, citation density ranged from 163.75 to 6.5. The article type included basic science (n = 32), review (n = 29), expert opinion (n = 19), cross-sectional study (n = 12), RCT (n = 3), and others (n = 5). The study content included pathogenesis (n = 58), risk factor (n = 11), modifying of intestinal microbiota (n = 10), prebiotic treatment (n = 8), antibiotic treatment (n = 4), diet control (n = 4), and others (n = 5). The 100 most cited articles were published in 59 journals. Among them, Diabetes (n = 7), Diabetologia (n = 7), and Plos one (n = 7) published the most T100 articles. In total, 24 countries and 174 scientific research institutions participated in those researches. USA (n = 32) and Belgium (n = 22) were the leading countries in this field, followed by France (n = 18) and Finland (n = 16). Patrice D. Cani contributed the most top cited articles (n = 15).

conclusionThis bibliometric study is likely to include a list of intellectual milestones focused on microbiota of diabetes research in the past decade, which provides insights into the circumstances and trends in preventing and treating diabetes from a new perspective.

Indexed as

BibliometricsMicrobiotaAuthorshipDiabetes MellitusGeographyHumansPeriodicals as TopicPublishing

Identifiers

PMID28906350
PMCPMC5604619

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
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.