ArticlePlastic and reconstructive surgery. Global open2022
Prevention, Diagnosis, and Management of Upper Extremity Lymphedema Complications: Altmetric Analysis of Online Media.
Article in Plastic and reconstructive surgery. Global open, 2022. 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.
- The 50 most impactful articles on the medial ulnar collateral ligament: An altmetric analysis of online media.SAGE open medicine · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Traditional citation-based metrics do not capture the dissemination of upper extremity lymphedema (UEL) research that occurs online and in mainstream media. There is limited literature reporting the most impactful UEL articles based on citation rate and/or online mentions. We sought to use the Altmetric Attention Score (AAS) to determine the most impactful UEL articles in online media and to report trends in the diagnosis, treatment, and prevention of complications. Methods: The Altmetric database was queried to identify all published articles regarding the management, diagnosis, and prevention of complications seen in the setting of UEL. Extracted data points included article topic and type, journal, and number of online mentions on several platforms. Results: Our index search yielded 638 studies published between 2000 and 2021. Fifty articles with the highest AAS scores were included for analysis. The median AAS was 27.5, but the top four articles had AAS scores that were substantially higher (AAS ≥ 334) than all other studies. Of the top 50 articles, 68% (34/50) were original research. Of those, 23.5% (8/34) were randomized control trials. The most common article topic was the treatment of UEL (36%; 18/50) followed by diagnostic methods of UEL (30%; 15/50). There were a total of 1156 Twitter mentions (median:14) for the top 50 articles. Of all media platforms, news mentions correlated most strongly with AAS (R Conclusions: Our findings suggest that alternative metrics measure distinct components of article impact and add an important dimension to understanding the overall impact of published research on UEL.
Identifiers
What 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.