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Ranking non-synonymous single nucleotide polymorphisms based on disease concepts

Overview of attention for article published in Human Genomics, June 2014
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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 (81st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
6 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
165 Dimensions

Readers on

mendeley
211 Mendeley
citeulike
1 CiteULike
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Title
Ranking non-synonymous single nucleotide polymorphisms based on disease concepts
Published in
Human Genomics, June 2014
DOI 10.1186/1479-7364-8-11
Pubmed ID
Authors

Hashem A Shihab, Julian Gough, Matthew Mort, David N Cooper, Ian NM Day, Tom R Gaunt

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
Spain 2 <1%
Norway 1 <1%
France 1 <1%
Sri Lanka 1 <1%
United Kingdom 1 <1%
Unknown 203 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 22%
Student > Ph. D. Student 33 16%
Student > Master 30 14%
Student > Bachelor 25 12%
Student > Postgraduate 12 6%
Other 29 14%
Unknown 36 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 69 33%
Agricultural and Biological Sciences 36 17%
Medicine and Dentistry 24 11%
Computer Science 11 5%
Neuroscience 6 3%
Other 16 8%
Unknown 49 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 15 April 2015.
All research outputs
#4,792,785
of 25,837,817 outputs
Outputs from Human Genomics
#114
of 577 outputs
Outputs of similar age
#43,548
of 245,478 outputs
Outputs of similar age from Human Genomics
#3
of 5 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 577 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 79% 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 245,478 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 81% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.