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An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes

Overview of attention for article published in BMC Medical Research Methodology, October 2020
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

policy
1 policy source
twitter
20 X users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
66 Mendeley
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Title
An evaluation of DistillerSR’s machine learning-based prioritization tool for title/abstract screening – impact on reviewer-relevant outcomes
Published in
BMC Medical Research Methodology, October 2020
DOI 10.1186/s12874-020-01129-1
Pubmed ID
Authors

C. Hamel, S. E. Kelly, K. Thavorn, D. B. Rice, G. A. Wells, B. Hutton

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 8 12%
Student > Master 6 9%
Lecturer 5 8%
Librarian 4 6%
Other 5 8%
Unknown 26 39%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Computer Science 5 8%
Psychology 4 6%
Social Sciences 4 6%
Agricultural and Biological Sciences 2 3%
Other 9 14%
Unknown 30 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 11 January 2021.
All research outputs
#1,775,990
of 23,577,654 outputs
Outputs from BMC Medical Research Methodology
#237
of 2,081 outputs
Outputs of similar age
#48,756
of 417,301 outputs
Outputs of similar age from BMC Medical Research Methodology
#5
of 46 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 88% 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 417,301 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 88% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.