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Huvariome: a web server resource of whole genome next-generation sequencing allelic frequencies to aid in pathological candidate gene selection

Overview of attention for article published in Journal of Clinical Bioinformatics, November 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

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5 X users

Citations

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20 Dimensions

Readers on

mendeley
54 Mendeley
citeulike
3 CiteULike
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Title
Huvariome: a web server resource of whole genome next-generation sequencing allelic frequencies to aid in pathological candidate gene selection
Published in
Journal of Clinical Bioinformatics, November 2012
DOI 10.1186/2043-9113-2-19
Pubmed ID
Authors

Andrew Stubbs, Elizabeth A McClellan, Sebastiaan Horsman, Saskia D Hiltemann, Ivo Palli, Stephan Nouwens, Anton HJ Koning, Frits Hoogland, Joke Reumers, Daphne Heijsman, Sigrid Swagemakers, Andreas Kremer, Jules Meijerink, Diether Lambrechts, Peter J van der Spek

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 4%
Spain 1 2%
United States 1 2%
Brazil 1 2%
Unknown 49 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 37%
Student > Ph. D. Student 9 17%
Professor > Associate Professor 7 13%
Professor 4 7%
Other 4 7%
Other 7 13%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Biochemistry, Genetics and Molecular Biology 11 20%
Medicine and Dentistry 9 17%
Computer Science 3 6%
Nursing and Health Professions 1 2%
Other 2 4%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 13 August 2013.
All research outputs
#8,186,312
of 25,374,647 outputs
Outputs from Journal of Clinical Bioinformatics
#18
of 61 outputs
Outputs of similar age
#81,876
of 285,392 outputs
Outputs of similar age from Journal of Clinical Bioinformatics
#5
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 61 research outputs from this source. They receive a mean Attention Score of 3.1. This one has gotten more attention than average, scoring higher than 70% 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 285,392 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 71% of its contemporaries.
We're also able to compare this research output to 7 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.