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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 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 | 63 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 24% |
| Student > Ph. D. Student | 16 | 23% |
| Other | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Postgraduate | 5 | 7% |
| Other | 14 | 20% |
| Unknown | 6 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 33% |
| Medicine and Dentistry | 16 | 23% |
| Biochemistry, Genetics and Molecular Biology | 12 | 17% |
| Immunology and Microbiology | 4 | 6% |
| Computer Science | 2 | 3% |
| 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.