Evidence map›Paper›PMID 39170818›Full record

ArticleARYA atherosclerosis

Forty-seven years of Iranian cardiovascular disease scientific publication: A bibliometric and altmetric analysis.

Ali Ouchi, Fezzeh Ebrahimi, Leila Nemati Anaraki, Seyed Abedin Hoseini Ahangari, Nasim Ansari

Abstract read
In one paragraph

Article in ARYA atherosclerosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

5 authors.

Ali OuchiStudent Research Committee, Iran University of Medical Sciences, Tehran, Iran.
Fezzeh EbrahimiDepartment of Knowledge and Information Science, University of Isfahan, Isfahan, Iran.
Leila Nemati AnarakiDepartment of Medical Library and Information Science, School of Health Management and Medical Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Seyed Abedin Hoseini AhangariDepartment of Medical Library and Information Sciences, School of Paramedicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Nasim AnsariDepartment of Medical Library and Information Sciences, School of Paramedicine, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present study was conducted to investigate the scientific contributions of Iranians in the field of cardiovascular research, as indexed in the Scopus database, using bibliometric and altmetric methods.

methodsThis applied study was conducted with a scientometric approach, utilizing bibliometric and altmetric indicators. The research population consisted of the scientific works of Iranian researchers in the field of cardiovascular diseases, indexed in the Scopus database over a period of 47 years. For bibliometric analysis and the generation of co-citation, co-occurrence, and co-authorship maps, the authors employed VOS Viewer software and the bibliometrix package in the R programming language. In the final stage, articles mentioned on social media were analyzed and evaluated using an altmetric approach.

resultsThe results indicated that the commencement point for the publication of documents was 1975, and there has been a steep increase in recent years. Moreover, the documents were primarily research articles out of 6853 retrieved documents, and a limited number of documents were single-authored. Other findings also revealed the co-authorship map of authors and the co-occurrence of words, highly cited authors and institutions, and highly frequent keywords, signifying the scientific collaboration of Iranian researchers with the United States and England. Altmetric analysis also demonstrated that 43.41% of documents were shared at least once on social media and had an Altmetric Attention score. Furthermore, the analysis of altmetric indices showed that Mendeley, Twitter, and News had the highest share of document mentions on social media, respectively.

conclusionThe findings of the study can offer valuable information to researchers, managers, and policy makers to become aware of the current state of research in the field of cardiovascular diseases and implement the necessary policies to inform society and enhance public health status.

Indexed as

AltmetricBibliometricsCardiovascular DiseasesPublicationsScientometricsSocial Media

Identifiers

PMID39170818
PMCPMC11335028

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.