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Human disease genomics: from variants to biology

Overview of attention for article published in Genome Biology, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

twitter
42 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
119 Mendeley
citeulike
3 CiteULike
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Title
Human disease genomics: from variants to biology
Published in
Genome Biology, January 2017
DOI 10.1186/s13059-017-1160-z
Pubmed ID
Authors

Mark I. McCarthy, Daniel G. MacArthur

Abstract

We summarize the remarkable progress that has been made in the identification and functional characterization of DNA sequence variants associated with disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 3 3%
Hungary 1 <1%
Mexico 1 <1%
Unknown 110 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 25%
Student > Ph. D. Student 27 23%
Student > Master 16 13%
Student > Bachelor 11 9%
Student > Doctoral Student 6 5%
Other 16 13%
Unknown 13 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 32%
Biochemistry, Genetics and Molecular Biology 36 30%
Medicine and Dentistry 10 8%
Computer Science 6 5%
Immunology and Microbiology 2 2%
Other 11 9%
Unknown 16 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 17 February 2017.
All research outputs
#1,693,764
of 25,382,440 outputs
Outputs from Genome Biology
#1,380
of 4,468 outputs
Outputs of similar age
#35,103
of 424,069 outputs
Outputs of similar age from Genome Biology
#20
of 61 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 69% 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 424,069 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 91% of its contemporaries.
We're also able to compare this research output to 61 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 67% of its contemporaries.