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Dermoscopic clues to differentiate facial lentigo maligna from pigmented actinic keratosis

Overview of attention for article published in British Journal of Dermatology, January 2016
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

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1 policy source

Citations

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76 Dimensions

Readers on

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58 Mendeley
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Title
Dermoscopic clues to differentiate facial lentigo maligna from pigmented actinic keratosis
Published in
British Journal of Dermatology, January 2016
DOI 10.1111/bjd.14355
Pubmed ID
Authors

A. Lallas, P. Tschandl, A. Kyrgidis, W. Stolz, H. Rabinovitz, A. Cameron, J.Y. Gourhant, J. Giacomel, H. Kittler, J. Muir, G. Argenziano, R. Hofmann‐Wellenhof, I. Zalaudek

Abstract

The limitations of dermoscopy to accurately differentiate between pigmented lentigo maligna (LM) and pigmented actinic keratosis (PAK) might be related to the fact that most studies have focused on pigmented criteria only, without considering additional recognizable features. To investigate the diagnostic accuracy of established dermoscopic criteria for pigmented LM and PAK, but including in the evaluation features previously associated with non-pigmented facial AK. Retrospectively enrolled cases of histopathologically diagnosed LM, PAK and solar lentigo/early seborrheic keratosis (SL/SK) were dermoscopically evaluated for the presence of pre-defined criteria. Univariate and multivariate regression analyses were performed and ROC curves were used. The study sample consisted of 70 LM, 56 PAK and 18 SL/SK. In a multivariate analysis, the most potent predictors of LM were grey rhomboids (6-fold increased probability of LM), non-evident follicles (4-fold) and intense pigmentation (2-fold). In contrast, white circles, scales and red colour were significantly correlated with PAK, posing a 14-fold, 8-fold and 4-fold probability for PAK, respectively. The absence of evident follicles represented also a frequent LM criterion, characterizing 72% of LM. White and evident follicles, scales and red colour represent significant diagnostic clues for PAK. Instead, intense pigmentation and gray rhomboidal lines appear highly suggestive of LM. This article is protected by copyright. All rights reserved.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Other 14 24%
Researcher 10 17%
Student > Doctoral Student 5 9%
Student > Bachelor 5 9%
Professor > Associate Professor 4 7%
Other 12 21%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 41 71%
Unspecified 1 2%
Veterinary Science and Veterinary Medicine 1 2%
Immunology and Microbiology 1 2%
Business, Management and Accounting 1 2%
Other 0 0%
Unknown 13 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 30 June 2019.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from British Journal of Dermatology
#3,685
of 9,662 outputs
Outputs of similar age
#129,984
of 403,320 outputs
Outputs of similar age from British Journal of Dermatology
#44
of 112 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,662 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 403,320 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.