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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Defining the contribution of SNPs identified in asthma GWAS to clinical variables in asthmatic children
|
|---|---|
| Published in |
BMC Medical Genomics, September 2013
|
| DOI | 10.1186/1471-2350-14-100 |
| Pubmed ID | |
| Authors |
Asif S Tulah, John W Holloway, Ian Sayers |
| Abstract |
Asthma genome-wide association studies (GWAS) have identified several asthma susceptibility genes with confidence; however the relative contribution of these genetic variants or single nucleotide polymorphisms (SNPs) to clinical endpoints (as opposed to disease diagnosis) remains largely unknown. Thus the aim of this study was to firstly bridge this gap in knowledge and secondly investigate whether these SNPs or those that are in linkage disequilibrium are likely to be functional candidates with respect to regulation of gene expression, using reported data from the ENCODE project. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 4% |
| India | 1 | 2% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 44 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 16% |
| Student > Master | 8 | 16% |
| Researcher | 7 | 14% |
| Professor > Associate Professor | 4 | 8% |
| Other | 4 | 8% |
| Other | 10 | 20% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 27% |
| Agricultural and Biological Sciences | 12 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Immunology and Microbiology | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 11 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 25 July 2023.
All research outputs
#3,561,374
of 25,374,647 outputs
Outputs from BMC Medical Genomics
#215
of 2,444 outputs
Outputs of similar age
#31,067
of 215,516 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 35 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 91% 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 215,516 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 85% of its contemporaries.
We're also able to compare this research output to 35 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 94% of its contemporaries.