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Attention Score in Context
Title |
Systematic identification of DNA variants associated with ultraviolet radiation using a novel Geographic-Wide Association Study (GeoWAS)
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Published in |
BMC Medical Genomics, June 2013
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DOI | 10.1186/1471-2350-14-62 |
Pubmed ID | |
Authors |
Irving Hsu, Rong Chen, Aditya Ramesh, Erik Corona, Hyunseok Peter Kang, David Ruau, Atul J Butte |
Abstract |
Long-term environmental variables are widely understood to play important roles in DNA variation. Previously, clinical studies examining the impacts of these variables on the human genome were localized to a single country, and used preselected DNA variants. Furthermore, clinical studies or surveys are either not available or difficult to carry out for developing countries. A systematic approach utilizing bioinformatics to identify associations among environmental variables, genetic variation, and diseases across various geographical locations is needed but has been lacking. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
Cameroon | 1 | 8% |
Netherlands | 1 | 8% |
Thailand | 1 | 8% |
United Kingdom | 1 | 8% |
Spain | 1 | 8% |
Unknown | 2 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 50% |
Scientists | 5 | 42% |
Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 50 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 20% |
Student > Master | 9 | 18% |
Student > Bachelor | 7 | 14% |
Other | 5 | 10% |
Student > Doctoral Student | 3 | 6% |
Other | 9 | 18% |
Unknown | 8 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 19 | 37% |
Agricultural and Biological Sciences | 7 | 14% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Psychology | 3 | 6% |
Nursing and Health Professions | 2 | 4% |
Other | 3 | 6% |
Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 06 April 2019.
All research outputs
#6,212,618
of 25,374,917 outputs
Outputs from BMC Medical Genomics
#405
of 2,444 outputs
Outputs of similar age
#49,244
of 209,230 outputs
Outputs of similar age from BMC Medical Genomics
#4
of 25 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th 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 well, scoring higher than 83% 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 209,230 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 76% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.