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Cochrane Database of Systematic Reviews

Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults

Overview of attention for article published in Cochrane database of systematic reviews, December 2018
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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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
5 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
439 Mendeley
Title
Computer‐assisted diagnosis techniques (dermoscopy and spectroscopy‐based) for diagnosing skin cancer in adults
Published in
Cochrane database of systematic reviews, December 2018
DOI 10.1002/14651858.cd013186
Pubmed ID
Authors

Lavinia Ferrante di Ruffano, Yemisi Takwoingi, Jacqueline Dinnes, Naomi Chuchu, Susan E Bayliss, Clare Davenport, Rubeta N Matin, Kathie Godfrey, Colette O'Sullivan, Abha Gulati, Sue Ann Chan, Alana Durack, Susan O'Connell, Matthew D Gardiner, Jeffrey Bamber, Jonathan J Deeks, Hywel C Williams, Cochrane Skin Cancer Diagnostic Test Accuracy Group

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 439 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 439 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 61 14%
Student > Bachelor 61 14%
Researcher 38 9%
Student > Ph. D. Student 29 7%
Other 23 5%
Other 85 19%
Unknown 142 32%
Readers by discipline Count As %
Medicine and Dentistry 112 26%
Nursing and Health Professions 35 8%
Unspecified 19 4%
Computer Science 18 4%
Engineering 16 4%
Other 78 18%
Unknown 161 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 19 May 2023.
All research outputs
#2,486,854
of 25,385,509 outputs
Outputs from Cochrane database of systematic reviews
#5,022
of 11,485 outputs
Outputs of similar age
#54,693
of 445,372 outputs
Outputs of similar age from Cochrane database of systematic reviews
#117
of 183 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,485 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.9. This one has gotten more attention than average, scoring higher than 56% 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 445,372 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 87% of its contemporaries.
We're also able to compare this research output to 183 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.