Evidence map›Paper›PMID 40225615›Full record

ArticleJournal of nursing management2023

The Correlation between Altmetric Attention Score and Traditional Bibliometrics in Top Nursing Journal Articles.

Lingmin Chen, Mutong Yang, Nian Li, Ying He, Yonggang Zhang

Abstract read
In one paragraph

Article in Journal of nursing management, 2023. 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.

Lingmin ChenDepartment of Anesthesiology and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.
Mutong YangWest China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Nian LiDepartment of Medical Administration, West China Hospital, Sichuan University, Chengdu 610041, China.
Ying HeDepartment of Integrated Traditional and Western Medicine, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-3999-2655
Yonggang ZhangDepartment of Periodical Press/National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China.ORCID 0000-0002-5251-3815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Altmetric Attention Score (AAS) is a quantitative measurement of the online impact of research and has a potential correlation with traditional bibliometrics. However, the correlation for nursing journal articles is still unknown. The objective of the study was to analyze the correlation between AAS and traditional bibliometrics in the top nursing journal articles. Materials and Methods: Articles published in top nursing journals (the journals with the top 20 5-year impact factors) from 2010 to 2019 were included. The correlations between AAS and citations, AAS and Relative Citation Ratio (RCR) score, AAS and Category Normalized Citation Impact (CNCI) value, and AAS and impact factors were analyzed. Statistical analyses were performed using Stata 25.0 software. Results: A total of 15,212 journal articles were included in the study. Very weak correlations were found between AASs and citations [0.124 (95% CI, 0.108-0.14)], AASs and RCRs [0.26 (95% CI, 0.244-0.275)], and AASs and CNCIs [0.207 (95% CI, 0.192-0.223)]. The weak correlations were also found between AASs and impact factors in several journals. The weak correlations between AASs and citations, AASs and CNCIs, and AASs and RCRs were also found for most journals based on subgroup analysis. Conclusions: There is very weak correlations between AASs and traditional bibliometrics in top nursing journal articles. More studies should be conducted to assess how AAS influence bibliometrics, and how they can help manage nursing journal articles and research.

Indexed as

BibliometricsPeriodicals as TopicHumansJournal Impact Factor

Identifiers

PMID40225615
PMCPMC11919080

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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.