ArticleStroke (Hoboken, N.J.)2023
Impact of a Digital Strategy Team in an Academic Stroke Journal: 1 Year in Review.
Article in Stroke (Hoboken, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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: The social media platform Twitter has increasingly been leveraged to disseminate clinical and academic content, including scientific research. Launched in November 2021 as an exclusively online open access journal, the Methods: Measures of Twitter influence from the @SVINJournal account were associated with the academic impact of articles published in the associated journal during the first 13 months of the journal's publication record. Descriptive statistics and the Pearson correlation coefficient were used to quantify measures of association, with the primary outcome being unique article requests (downloads). Results: There were 174 unique articles published during the study period, with 367 unique tweets. Articles referenced in tweets from @SVINJournal had nearly twice as many requests as articles without tweets (median 967 [interquartile range, 683-1357] versus 497 [interquartile range, 331-711]; Conclusions: There was a statistically significant, but small, association between tweets and article requests as well as citations. Highly tweeted articles had a higher number of citations. In the absence of PubMed indexing and print distribution, social media platforms can have an impact in promoting peer-reviewed content and may increase content access and citations.
Indexed as
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.