Evidence map›Paper›PMID 31788368›Full record

ArticlePeerJ2019

Mapping theme trends and recognizing hot spots in postmenopausal osteoporosis research: a bibliometric analysis.

Siming Zhou, Zhengbo Tao, Yue Zhu, Lin Tao

Abstract read
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Biclustering data analysis: a comprehensive survey.Briefings in bioinformatics · 2024
    Review
  9. Article
  10. Article
  11. Article
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  14. The woman's hand.Revista da Associacao Medica Brasileira (1992) · 2023
    Article
  15. Article
  16. Article
  17. Bisphosphates for Osteoporosis: A Bibliometric Analysis of the Most Cited Articles.Evidence-based complementary and alternative medicine : eCAM · 2022
    Review
  18. Article
  19. Article
  20. 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

4 authors.

Siming Zhou *Department of Orthopaedics, First Hospital of China Medical University, Shenyang, Liaoning, China.
Zhengbo Tao *Department of Orthopaedics, First Hospital of China Medical University, Shenyang, Liaoning, China.
Yue ZhuDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang, Liaoning, China.
Lin TaoDepartment of Orthopaedics, First Hospital of China Medical University, Shenyang, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to draw a series of scientific maps to quantitatively and qualitatively evaluate hot spots and trends in postmenopausal osteoporosis research using bibliometric analysis.

methodsScientific papers published on postmenopausal osteoporosis were extracted from the Web of Science Core Collection and PubMed database. Extracted information was analyzed quantitatively with bibliometric analysis by CiteSpace, the Online Analysis Platform of Literature Metrology and Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). To explore the hot spots in this field, co-word biclustering analysis was conducted by gCLUTO based on the major MeSH terms/MeSH subheading terms-source literatures matrix.

resultsWe identified that a total of 5,247 publications related to postmenopausal osteoporosis were published between 2013 and 2017. The overall trend decreased from 1,071 literatures in 2013 to 1,048 literatures in 2017.

conclusionsOur study found that in the past few years, the etiology and drug treatment of postmenopausal osteoporosis have been research hot spots. They provide a basis for the study of the pathogenesis of osteoporosis and guidelines for the drug treatment of osteoporosis.

Indexed as

Bibliometric analysisBiclusteringCo-word analysisHot spotsMapping theme trendsPostmenopausal osteoporosis

Identifiers

PMID31788368
PMCPMC6882420

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.