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An algorithm for the classification of study designs to assess diagnostic, prognostic and predictive test accuracy in systematic reviews

Overview of attention for article published in Systematic Reviews, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
86 Mendeley
Title
An algorithm for the classification of study designs to assess diagnostic, prognostic and predictive test accuracy in systematic reviews
Published in
Systematic Reviews, September 2019
DOI 10.1186/s13643-019-1131-4
Pubmed ID
Authors

Tim Mathes, Dawid Pieper

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 22%
Researcher 15 17%
Student > Postgraduate 8 9%
Student > Bachelor 8 9%
Student > Ph. D. Student 7 8%
Other 11 13%
Unknown 18 21%
Readers by discipline Count As %
Medicine and Dentistry 32 37%
Nursing and Health Professions 16 19%
Biochemistry, Genetics and Molecular Biology 4 5%
Immunology and Microbiology 3 3%
Veterinary Science and Veterinary Medicine 2 2%
Other 10 12%
Unknown 19 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 September 2019.
All research outputs
#7,762,902
of 24,294,766 outputs
Outputs from Systematic Reviews
#1,334
of 2,112 outputs
Outputs of similar age
#130,035
of 344,020 outputs
Outputs of similar age from Systematic Reviews
#17
of 40 outputs
Altmetric has tracked 24,294,766 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,112 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 344,020 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 61% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.