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Ancestry-specific predisposing germline variants in cancer

Overview of attention for article published in Genome Medicine, May 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
15 X users

Citations

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37 Dimensions

Readers on

mendeley
92 Mendeley
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Title
Ancestry-specific predisposing germline variants in cancer
Published in
Genome Medicine, May 2020
DOI 10.1186/s13073-020-00744-3
Pubmed ID
Authors

Ninad Oak, Andrew D. Cherniack, R. Jay Mashl, Fred R. Hirsch, Li Ding, Rameen Beroukhim, Zeynep H. Gümüş, Sharon E. Plon, Kuan-lin Huang

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 92 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 16%
Researcher 14 15%
Student > Master 10 11%
Other 6 7%
Student > Bachelor 6 7%
Other 14 15%
Unknown 27 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 37%
Medicine and Dentistry 13 14%
Agricultural and Biological Sciences 3 3%
Unspecified 2 2%
Arts and Humanities 2 2%
Other 5 5%
Unknown 33 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 June 2020.
All research outputs
#4,164,064
of 25,589,756 outputs
Outputs from Genome Medicine
#824
of 1,597 outputs
Outputs of similar age
#101,636
of 432,309 outputs
Outputs of similar age from Genome Medicine
#17
of 27 outputs
Altmetric has tracked 25,589,756 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 48th percentile – i.e., 48% 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 432,309 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.