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Standard operating procedure for curation and clinical interpretation of variants in cancer

Overview of attention for article published in Genome Medicine, November 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

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9 X users

Citations

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17 Dimensions

Readers on

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58 Mendeley
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Title
Standard operating procedure for curation and clinical interpretation of variants in cancer
Published in
Genome Medicine, November 2019
DOI 10.1186/s13073-019-0687-x
Pubmed ID
Authors

Arpad M. Danos, Kilannin Krysiak, Erica K. Barnell, Adam C. Coffman, Joshua F. McMichael, Susanna Kiwala, Nicholas C. Spies, Lana M. Sheta, Shahil P. Pema, Lynzey Kujan, Kaitlin A. Clark, Amber Z. Wollam, Shruti Rao, Deborah I. Ritter, Dmitriy Sonkin, Gordana Raca, Wan-Hsin Lin, Cameron J. Grisdale, Raymond H. Kim, Alex H. Wagner, Subha Madhavan, Malachi Griffith, Obi L. Griffith

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 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 %
Researcher 12 21%
Student > Master 6 10%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 7%
Lecturer 3 5%
Other 12 21%
Unknown 16 28%
Readers by discipline Count As %
Medicine and Dentistry 15 26%
Biochemistry, Genetics and Molecular Biology 10 17%
Agricultural and Biological Sciences 5 9%
Nursing and Health Professions 3 5%
Unspecified 2 3%
Other 8 14%
Unknown 15 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 January 2020.
All research outputs
#6,490,539
of 23,177,498 outputs
Outputs from Genome Medicine
#1,064
of 1,452 outputs
Outputs of similar age
#140,661
of 459,409 outputs
Outputs of similar age from Genome Medicine
#26
of 34 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.8. This one is in the 26th percentile – i.e., 26% 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 459,409 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 69% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.