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Clinical Perspective of 3D Total Body Photography for Early Detection and Screening of Melanoma

Overview of attention for article published in Frontiers in Medicine, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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32 X users

Citations

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68 Dimensions

Readers on

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70 Mendeley
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Title
Clinical Perspective of 3D Total Body Photography for Early Detection and Screening of Melanoma
Published in
Frontiers in Medicine, May 2018
DOI 10.3389/fmed.2018.00152
Pubmed ID
Authors

Jenna E. Rayner, Antonia M. Laino, Kaitlin L. Nufer, Laura Adams, Anthony P Raphael, Scott W Menzies, H. Peter Soyer

Abstract

Melanoma incidence continues to increase across many populations globally and there is significant mortality associated with advanced disease. However, if detected early, patients have a very promising prognosis. The methods that have been utilized for early detection include clinician and patient skin examinations, dermoscopy (static and sequential imaging), and total body photography via 2D imaging. Total body photography has recently witnessed an evolution from 2D imaging with the ability to now create a 3D representation of the patient linked with dermoscopy images of individual lesions. 3D total body photography is a particularly beneficial screening tool for patients at high risk due to their personal or family history or those with multiple dysplastic naevi-the latter can make monitoring especially difficult without the assistance of technology. In this perspective, we discuss clinical examples utilizing 3D total body photography, associated advantages and limitations, and future directions of the technology. The optimal system for melanoma screening should improve diagnostic accuracy, be time and cost efficient, and accessible to patients across all demographic and socioeconomic groups. 3D total body photography has the potential to address these criteria and, most importantly, optimize crucial early detection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 13%
Researcher 8 11%
Student > Ph. D. Student 6 9%
Student > Doctoral Student 6 9%
Student > Master 5 7%
Other 9 13%
Unknown 27 39%
Readers by discipline Count As %
Medicine and Dentistry 20 29%
Computer Science 7 10%
Biochemistry, Genetics and Molecular Biology 6 9%
Environmental Science 1 1%
Nursing and Health Professions 1 1%
Other 6 9%
Unknown 29 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 02 July 2020.
All research outputs
#1,584,679
of 25,390,692 outputs
Outputs from Frontiers in Medicine
#438
of 7,167 outputs
Outputs of similar age
#33,012
of 337,404 outputs
Outputs of similar age from Frontiers in Medicine
#10
of 105 outputs
Altmetric has tracked 25,390,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,167 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 93% 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 337,404 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 90% of its contemporaries.
We're also able to compare this research output to 105 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 91% of its contemporaries.