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A distinct expression profile separates Turkish and Australian melanocytic naevi

Overview of attention for article published in Histopathology, January 2016
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Title
A distinct expression profile separates Turkish and Australian melanocytic naevi
Published in
Histopathology, January 2016
DOI 10.1111/his.12906
Pubmed ID
Authors

Carly Fox, Helmut Schaider, Taner Akalin, Meltem Turkmen, Rick Sturm, Duncan Lambie, Isil K Karaarslan, H Peter Soyer, Fezal Ozdemir, Brian Gabrielli

Abstract

Following the Clark model of melanoma progression, melanocytic naevi (MN) are thought to be precursor lesions of melanoma. Although MN have been described phenotypically and histologically (Shea et al., 1999; Chen et al., 2010; Duffy et al., 2012), the biology and molecular features accompanying them remain puzzling. A major disadvantage in studying the biology of MN is the complete absence of in vitro and in vivo models. Therefore one approach to better define potential markers of MN is the selection of candidate genes based on existing knowledge of genes known to be required for transformation into melanocytic tumors and probe for their tissue expression. This article is protected by copyright. All rights reserved.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 3 50%
Agricultural and Biological Sciences 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 November 2015.
All research outputs
#16,699,002
of 24,558,777 outputs
Outputs from Histopathology
#2,669
of 3,414 outputs
Outputs of similar age
#242,499
of 404,613 outputs
Outputs of similar age from Histopathology
#45
of 53 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,414 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 12th percentile – i.e., 12% 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 404,613 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.