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A diagnostic autoantibody signature for primary cutaneous melanoma

Overview of attention for article published in Oncotarget, July 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 12,510)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
69 news outlets
blogs
2 blogs
twitter
26 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
35 Mendeley
Title
A diagnostic autoantibody signature for primary cutaneous melanoma
Published in
Oncotarget, July 2018
DOI 10.18632/oncotarget.25669
Pubmed ID
Authors

Pauline Zaenker, Johnny Lo, Robert Pearce, Phillip Cantwell, Lester Cowell, Mark Lee, Christopher Quirk, Henry Law, Elin Gray, Mel Ziman

Abstract

Melanoma is an aggressive form of skin cancer that is curable by surgical excision in the majority of cases, if detected at an early stage. To improve early stage melanoma detection, the development of a highly sensitive diagnostic test is of utmost importance. Here we aimed to identify antibodies to a panel of tumour associated antigens that can differentiate primary melanoma patients and healthy individuals. A total of 245 sera from primary melanoma patients and healthy volunteers were screened against a high-throughput microarray platform containing 1627 functional proteins. Following rigorous statistical analysis, we identified a combination of 10 autoantibody biomarkers that, as a panel, displays a sensitivity of 79%, specificity of 84% and an AUC of 0.828 for primary melanoma detection. This melanoma autoantibody signature may prove valuable for the development of a diagnostic blood test for routine population screening that, when used in conjunction with current melanoma diagnostic techniques, could improve the early diagnosis of this malignancy and ultimately decrease the mortality rate of patients.

Twitter Demographics

The data shown below were collected from the profiles of 26 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 31%
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Other 3 9%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 3 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 29%
Agricultural and Biological Sciences 8 23%
Medicine and Dentistry 4 11%
Immunology and Microbiology 2 6%
Chemical Engineering 1 3%
Other 4 11%
Unknown 6 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 595. 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 27 August 2018.
All research outputs
#13,253
of 14,433,054 outputs
Outputs from Oncotarget
#1
of 12,510 outputs
Outputs of similar age
#597
of 273,283 outputs
Outputs of similar age from Oncotarget
#1
of 242 outputs
Altmetric has tracked 14,433,054 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,510 research outputs from this source. They receive a mean Attention Score of 3.9. 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 273,283 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 99% of its contemporaries.
We're also able to compare this research output to 242 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 99% of its contemporaries.