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Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies

Overview of attention for article published in British Medical Journal, February 2020
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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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
37 news outlets
blogs
7 blogs
policy
1 policy source
twitter
410 X users
facebook
4 Facebook pages

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
294 Mendeley
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Title
Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies
Published in
British Medical Journal, February 2020
DOI 10.1136/bmj.m127
Pubmed ID
Authors

Karoline Freeman, Jacqueline Dinnes, Naomi Chuchu, Yemisi Takwoingi, Sue E Bayliss, Rubeta N Matin, Abhilash Jain, Fiona M Walter, Hywel C Williams, Jonathan J Deeks

X Demographics

X Demographics

The data shown below were collected from the profiles of 410 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 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 294 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 14%
Researcher 28 10%
Student > Ph. D. Student 24 8%
Student > Bachelor 22 7%
Other 17 6%
Other 49 17%
Unknown 112 38%
Readers by discipline Count As %
Medicine and Dentistry 85 29%
Nursing and Health Professions 14 5%
Engineering 12 4%
Biochemistry, Genetics and Molecular Biology 11 4%
Computer Science 11 4%
Other 36 12%
Unknown 125 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 567. 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 May 2024.
All research outputs
#43,114
of 25,962,638 outputs
Outputs from British Medical Journal
#857
of 65,280 outputs
Outputs of similar age
#1,251
of 483,248 outputs
Outputs of similar age from British Medical Journal
#20
of 840 outputs
Altmetric has tracked 25,962,638 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 65,280 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.0. This one has done particularly well, scoring higher than 98% 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 483,248 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 99% of its contemporaries.
We're also able to compare this research output to 840 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 97% of its contemporaries.