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Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews

Overview of attention for article published in Systematic Reviews, April 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
58 X users

Citations

dimensions_citation
64 Dimensions

Readers on

mendeley
96 Mendeley
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Title
Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews
Published in
Systematic Reviews, April 2021
DOI 10.1186/s13643-021-01635-3
Pubmed ID
Authors

Kevin E. K. Chai, Robin L. J. Lines, Daniel F. Gucciardi, Leo Ng

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Researcher 10 10%
Librarian 7 7%
Student > Master 6 6%
Lecturer 4 4%
Other 17 18%
Unknown 37 39%
Readers by discipline Count As %
Medicine and Dentistry 12 13%
Computer Science 8 8%
Nursing and Health Professions 5 5%
Engineering 5 5%
Psychology 4 4%
Other 23 24%
Unknown 39 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 03 February 2023.
All research outputs
#937,002
of 25,303,733 outputs
Outputs from Systematic Reviews
#118
of 2,218 outputs
Outputs of similar age
#25,653
of 434,013 outputs
Outputs of similar age from Systematic Reviews
#6
of 78 outputs
Altmetric has tracked 25,303,733 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done particularly well, scoring higher than 94% 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 434,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.