Evidence map›Paper›PMID 32846827›Full record

ReviewMedicine2020

A bibliometric analysis of income and cardiovascular disease: Status, Hotspots, Trends and Outlook.

Ye Ding, Dingwan Chen, Xufen Ding, Guan Wang, Yuehua Wan, Qing Shen

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

6 authors.

Ye DingSchool of Public Health, Hangzhou Medical College.
Dingwan ChenSchool of Public Health, Hangzhou Medical College.
Xufen DingInstitute of Information Resources, Zhejiang University of Technology.
Guan WangSchool of Public Health, Hangzhou Medical College.
Yuehua WanInstitute of Information Resources, Zhejiang University of Technology.
Qing ShenSchool of Public Health, Hangzhou Medical College.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncome is 1 of the socio-economic indicators and could directly influence the health outcomes of cardiovascular disease (CVD). The relationship between income and CVD has attracted more and more scholars' attention in the past 20 years.

methodsTo study the current research dynamics of this field, a bibliometric analysis was conducted to evaluate the publications from 1990 to 2018 based on the Science Citation Index Expanded database. By using the Derwent Date Analyzer software, the following aspects were explored:

results: The USA ranked first in this field, followed by UK and Canada in terms of number of publications. As for institutions, Harvard University took the leading place in the number of publications, as well as the h-index. Plos One had the most publications and "health" was the most frequent used keyword. The leading research area was "public environmental occupational health".

conclusionsIn conclusion, the elderly, the children and the puerpera were the main study population in this field and "disease prevention" was the main study direction. The most concerned health issues in this field were "obesity" and "diet". There might be a lack of articles that explore the associations between income and CVD with a global perspective. Articles on this content are urgently warranted.

Indexed as

BibliometricsIncomeAcademies and InstitutesAuthorshipBiomedical ResearchCardiovascular DiseasesDatabases, FactualHumansInternational CooperationPeriodicals as TopicRisk FactorsUniversities

Identifiers

PMID32846827
PMCPMC7447358

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.