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Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews

Overview of attention for article published in JAMIA Open, January 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Trial2rev: Combining machine learning and crowd-sourcing to create a shared space for updating systematic reviews
Published in
JAMIA Open, January 2019
DOI 10.1093/jamiaopen/ooy062
Pubmed ID
Authors

Paige Martin, Didi Surian, Rabia Bashir, Florence T Bourgeois, Adam G Dunn

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 24%
Student > Bachelor 2 7%
Researcher 2 7%
Student > Master 2 7%
Professor 1 3%
Other 2 7%
Unknown 13 45%
Readers by discipline Count As %
Medicine and Dentistry 5 17%
Computer Science 5 17%
Psychology 2 7%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 14 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 November 2020.
All research outputs
#5,925,470
of 23,577,761 outputs
Outputs from JAMIA Open
#126
of 378 outputs
Outputs of similar age
#119,473
of 439,875 outputs
Outputs of similar age from JAMIA Open
#12
of 19 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 378 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 66% 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 439,875 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.