ArticleSleep & breathing = Schlaf & Atmung2025
The impact of social media on sleep journals: analyzing the correlation between altmetrics and citation count.
Article in Sleep & breathing = Schlaf & Atmung, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Altmetrics in the evaluation of scholarly impact: a systematic and critical literature review.Frontiers in research metrics and analytics · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe assessment of scientific articles is essential for making informed decisions regarding promotion, tenure, and funding, as well as for identifying influential research within a specific field. Traditional metrics like citation count have been the standard for evaluating the reach and influence of publications, but they have limitations. A new web-based metric-the Altmetric Attention Score (AAS)-offers a dynamic analysis of online engagement through social media platforms, including X (Formerly Twitter), Facebook, and YouTube. This study primarily examines the role of X activity in shaping AAS and explores its correlation with traditional citation counts in sleep medicine journals.
methodsThe study included articles from the top 10 sleep journals ranked by impact factor, focusing on articles published in 2020 and 2021. Data on citation counts were extracted from Journal Citation Reports (JCR), while AAS data were retrieved from the Altmetrics website. The analysis primarily focused on X activity as a proxy for online engagement. Pearson's and Spearman's correlations were used to evaluate the relationship between AAS, citation counts, and X activity. Statistical analysis was conducted using R software.
resultsA total of 3,944 articles were analyzed. The average AAS was 20, with a median of 2. A weak but statistically significant positive correlation (r = 0.22, P < 0.001) was observed between AAS and citation counts. X activity showed a strong correlation with AAS (r = 0.65, P < 0.001), but only a weak correlation with citation counts (r = 0.16, P < 0.001).
conclusionThis study highlights the strong relationship between X activity and AAS, emphasizing X's role in influencing Altmetric scores. However, the weaker correlation between AAS and citation counts implies that while AAS may measure immediate online attention, it is not always a reliable predictor of long-term academic impact.
Indexed as
Identifiers
39934407What OpenQuestion holds
Registered trials
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.