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Whole-exome sequencing of a pedigree segregating asthma

Overview of attention for article published in BMC Medical Genetics, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

twitter
6 tweeters
f1000
1 research highlight platform

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
71 Mendeley
citeulike
1 CiteULike
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Title
Whole-exome sequencing of a pedigree segregating asthma
Published in
BMC Medical Genetics, October 2012
DOI 10.1186/1471-2350-13-95
Pubmed ID
Authors

Andrew T DeWan, Kathryn Brigham Egan, Karen Hellenbrand, Keli Sorrentino, Nicole Pizzoferrato, Kyle M Walsh, Michael B Bracken

Abstract

Despite the success of genome-wide association studies for asthma, few, if any, definitively causal variants have been identified and there is still a substantial portion of the heritability of the disease yet to be discovered. Some of this "missing heritability" may be accounted for by family-specific coding variants found to be segregating with asthma.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Norway 1 1%
South Africa 1 1%
United Kingdom 1 1%
Spain 1 1%
Japan 1 1%
United States 1 1%
Unknown 64 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 25%
Student > Ph. D. Student 15 21%
Student > Master 7 10%
Other 6 8%
Student > Postgraduate 5 7%
Other 14 20%
Unknown 6 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 34%
Medicine and Dentistry 15 21%
Biochemistry, Genetics and Molecular Biology 12 17%
Immunology and Microbiology 4 6%
Computer Science 3 4%
Other 4 6%
Unknown 9 13%

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 05 April 2013.
All research outputs
#6,299,244
of 22,681,577 outputs
Outputs from BMC Medical Genetics
#154
of 1,029 outputs
Outputs of similar age
#46,255
of 172,685 outputs
Outputs of similar age from BMC Medical Genetics
#1
of 23 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,029 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 84% 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 172,685 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 73% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.