Evidence map›Paper›PMID 33167984›Full record

ArticleBMC medical informatics and decision making2020

Global scientific output trend for Akkermansia muciniphila research: a bibliometric and scientometric analysis.

Hojat Dehghanbanadaki, Hossein Aazami, Shahrbanoo Keshavarz Azizi Raftar, Fatemeh Ashrafian, Hanieh-Sadat Ejtahed, Ehsan Hashemi, Zahra Hoseini Tavassol, Sara Ahmadi Badi, Seyed Davar Siadat

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The role ofFrontiers in medicine · 2025
    Pooled it
  2. Global scientometric analysis ofVeterinary world · 2026
    Article
  3. Review
  4. The worldview ofFrontiers in microbiology · 2025
    Review
  5. Research trends of next generation probiotics.Food science and biotechnology · 2024
    Review
  6. Article
  7. Article
  8. International journal of molecular sciences · 2023
    Review
  9. Mode of action ofMicrobiome research reports · 2023
    Review
  10. Article
  11. Article
  12. Global research onWorld journal of gastroenterology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
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

9 authors.

Hojat DehghanbanadakiEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Hossein AazamiMetabolic Disorders Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Shahrbanoo Keshavarz Azizi RaftarDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Fatemeh AshrafianDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Hanieh-Sadat EjtahedObesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ehsan HashemiDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Zahra Hoseini TavassolDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Sara Ahmadi BadiDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran.
Seyed Davar SiadatDepartment of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran. d.siadat@gmail.com.ORCID 0000-0002-6892-5603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAkkermansia muciniphila is an anaerobic bacterium residing in the healthy intestinal tract of host and its quantity has a negative correlation with various host diseases. This study for the first time provides a holistic bibliometric aspect of Akkermansi muciniphila research in the literature and shows the hot topic terms of these articles in any period of time.

methodsScopus database was selected to retrieve documents relevant to Akkermansia muciniphila in any language up to 2019. The bibliometric profile of Akkermansia muciniphila articles including subject area, year distribution, citations, institutions, journals, authors, and countries was systematically characterized and the collaboration networks of authors and countries as well as the burst detection algorithm of the words in the titles, abstracts and keywords were visualized.

resultsThere is a progressive growing trend in research on Akkermansia from 2004 to 2019 with a total of 566 articles during this period. Out of 353 original articles, there are 194 animal studies (155 studies on mice) and 112 human studies. Also, 65 various diseases were investigated in these studies. The most focused conditions are obesity (71 articles) and type2 diabetes (39 articles). The United States is the leading country on Akkermansia publications (n = 132), followed by China (n = 95). Frontiers in Microbiology is the most dominant journal with 23 Akkermansia publications. In addition, "cancer" is the hot topic of recent Akkermansia research.

conclusionAkkermansia research is of progressive interest during the last decade and the studies on this subject move towards its relationship with cancer and its promising effect on health.

Indexed as

BibliometricsAkkermansiaAnimalsChinaMicePeriodicals as TopicPublishingResearchUnited StatesAkkermansia muciniphilaBibliometricsMicrobiotaScientometrics

Identifiers

PMID33167984
PMCPMC7654583

What OpenQuestion holds

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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.