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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
1 tweeter
wikipedia
1 Wikipedia page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
127 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 26 20%
Student > Master 22 17%
Researcher 15 12%
Student > Doctoral Student 8 6%
Student > Ph. D. Student 8 6%
Other 21 17%
Unknown 27 21%
Readers by discipline Count As %
Medicine and Dentistry 40 31%
Nursing and Health Professions 12 9%
Computer Science 7 6%
Social Sciences 6 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 21 17%
Unknown 36 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 12 August 2019.
All research outputs
#1,029,240
of 13,757,863 outputs
Outputs from Cochrane database of systematic reviews
#3,099
of 10,736 outputs
Outputs of similar age
#44,352
of 353,341 outputs
Outputs of similar age from Cochrane database of systematic reviews
#30
of 55 outputs
Altmetric has tracked 13,757,863 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 10,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.3. This one has gotten more attention than average, scoring higher than 71% 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 353,341 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 55 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.