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Prioritizing evidence-based practices for acute respiratory distress syndrome using digital data: an iterative multi-stakeholder process

Overview of attention for article published in Implementation Science, December 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Prioritizing evidence-based practices for acute respiratory distress syndrome using digital data: an iterative multi-stakeholder process
Published in
Implementation Science, December 2022
DOI 10.1186/s13012-022-01255-y
Pubmed ID
Authors

Jennifer N. Ervin, Millie R. Dibble, Victor C. Rentes, Michael W. Sjoding, Michelle N. Gong, Catherine L. Hough, Theodore J. Iwashyna, Anne E. Sales

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 7%
Librarian 1 7%
Student > Doctoral Student 1 7%
Student > Bachelor 1 7%
Student > Ph. D. Student 1 7%
Other 3 20%
Unknown 7 47%
Readers by discipline Count As %
Medicine and Dentistry 3 20%
Unspecified 1 7%
Nursing and Health Professions 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unknown 9 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 December 2022.
All research outputs
#4,581,303
of 25,118,194 outputs
Outputs from Implementation Science
#845
of 1,798 outputs
Outputs of similar age
#92,851
of 480,296 outputs
Outputs of similar age from Implementation Science
#9
of 10 outputs
Altmetric has tracked 25,118,194 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 480,296 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one.