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Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review

Overview of attention for article published in British Journal of Dermatology, May 2015
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
35 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Smartphone applications for melanoma detection by community, patient and generalist clinician users: a review
Published in
British Journal of Dermatology, May 2015
DOI 10.1111/bjd.13665
Pubmed ID
Authors

A.P. Kassianos, J.D. Emery, P. Murchie, F.M. Walter

Abstract

Smartphone health applications ('apps') are widely available but experts remain cautious about their utility and safety. We reviewed currently available apps for the detection of melanoma (July 2014), aimed at general community, patient and generalist clinician users. A proforma was used to extract and assess each app which met the inclusion criteria, and we undertook content analysis to evaluate their content, and the evidence applied in their development. Thirty nine apps were identified with the majority available only for Apple users. Over half (n=22) provided information or education about melanoma, UV exposure prevention advice, and skin self-examination strategies, mainly using the ABCDE method. Half (n=19) helped users take and store images of their skin lesions either for review by a dermatologist or for self-monitoring to identify change, an important predictor of melanoma; a similar number (n=18) used reminders to help users monitor their skin lesions. A few (n=9) offered expert review of images. Four apps provided a risk assessment to patients about the probability that a lesion was malignant or benign, and one app calculated users' future risk of melanoma. None of the apps appeared to have been validated for diagnostic accuracy or utility using established research methods. Smartphone apps for detecting melanoma by non-specialist users have a range of functions including information, education, classification, risk assessment and monitoring change. Despite their potential usefulness, and while clinicians may choose to use apps that provide information to educate their patients, apps for melanoma detection require further validation of their utility and safety. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profiles of 35 tweeters 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Unknown 141 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 22%
Student > Ph. D. Student 22 15%
Researcher 16 11%
Student > Bachelor 14 10%
Student > Doctoral Student 13 9%
Other 48 33%
Readers by discipline Count As %
Medicine and Dentistry 51 35%
Unspecified 26 18%
Computer Science 15 10%
Engineering 13 9%
Nursing and Health Professions 10 7%
Other 29 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 53. 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 10 April 2018.
All research outputs
#294,949
of 12,788,180 outputs
Outputs from British Journal of Dermatology
#59
of 6,216 outputs
Outputs of similar age
#7,444
of 274,844 outputs
Outputs of similar age from British Journal of Dermatology
#2
of 108 outputs
Altmetric has tracked 12,788,180 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,216 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% 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 274,844 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 97% of its contemporaries.
We're also able to compare this research output to 108 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 98% of its contemporaries.