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X Demographics
Mendeley readers
Attention Score in Context
Title |
Melanoma risk loci as determinants of melanoma recurrence and survival
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Published in |
Journal of Translational Medicine, November 2013
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DOI | 10.1186/1479-5876-11-279 |
Pubmed ID | |
Authors |
Justin Rendleman, Shulian Shang, Christine Dominianni, Jerry F Shields, Patrick Scanlon, Christina Adaniel, Alexis Desrichard, Michelle Ma, Richard Shapiro, Russell Berman, Anna Pavlick, David Polsky, Yongzhao Shao, Iman Osman, Tomas Kirchhoff |
Abstract |
Steadily high melanoma mortality rates urge for the availability of novel biomarkers with a more personalized ability to predict melanoma clinical outcomes. Germline risk variants are promising candidates for this purpose; however, their prognostic potential in melanoma has never been systematically tested. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 4% |
Denmark | 1 | 4% |
Australia | 1 | 4% |
Unknown | 23 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 15% |
Researcher | 4 | 15% |
Professor > Associate Professor | 4 | 15% |
Professor | 2 | 8% |
Student > Bachelor | 2 | 8% |
Other | 8 | 31% |
Unknown | 2 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 9 | 35% |
Medicine and Dentistry | 8 | 31% |
Biochemistry, Genetics and Molecular Biology | 5 | 19% |
Neuroscience | 1 | 4% |
Unspecified | 1 | 4% |
Other | 0 | 0% |
Unknown | 2 | 8% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 November 2013.
All research outputs
#13,901,154
of 22,729,647 outputs
Outputs from Journal of Translational Medicine
#1,693
of 3,974 outputs
Outputs of similar age
#117,570
of 214,638 outputs
Outputs of similar age from Journal of Translational Medicine
#27
of 68 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 55% 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 214,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 68 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 60% of its contemporaries.