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X Demographics
Mendeley readers
Attention Score in Context
Title |
Categorization of humans in biomedical research: genes, race and disease
|
---|---|
Published in |
Genome Biology, July 2002
|
DOI | 10.1186/gb-2002-3-7-comment2007 |
Pubmed ID | |
Authors |
Neil Risch, Esteban Burchard, Elad Ziv, Hua Tang |
Abstract |
A debate has arisen regarding the validity of racial/ethnic categories for biomedical and genetic research. An epidemiologic perspective on the issue of human categorization in biomedical and genetic research strongly supports the continued use of self-identified race and ethnicity. |
X Demographics
The data shown below were collected from the profiles of 125 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 | 16 | 13% |
United Kingdom | 4 | 3% |
Germany | 2 | 2% |
Switzerland | 1 | <1% |
Colombia | 1 | <1% |
Brazil | 1 | <1% |
Austria | 1 | <1% |
Argentina | 1 | <1% |
Canada | 1 | <1% |
Other | 6 | 5% |
Unknown | 91 | 73% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 112 | 90% |
Scientists | 6 | 5% |
Science communicators (journalists, bloggers, editors) | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Unknown | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 370 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 11 | 3% |
Brazil | 4 | 1% |
Malaysia | 2 | <1% |
Colombia | 1 | <1% |
Switzerland | 1 | <1% |
Germany | 1 | <1% |
South Africa | 1 | <1% |
Lithuania | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 346 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 66 | 18% |
Researcher | 62 | 17% |
Student > Master | 43 | 12% |
Student > Bachelor | 43 | 12% |
Professor > Associate Professor | 25 | 7% |
Other | 86 | 23% |
Unknown | 45 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 87 | 24% |
Medicine and Dentistry | 56 | 15% |
Social Sciences | 53 | 14% |
Biochemistry, Genetics and Molecular Biology | 37 | 10% |
Psychology | 16 | 4% |
Other | 61 | 16% |
Unknown | 60 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 174. 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 17 April 2024.
All research outputs
#238,303
of 25,824,818 outputs
Outputs from Genome Biology
#82
of 4,520 outputs
Outputs of similar age
#149
of 48,721 outputs
Outputs of similar age from Genome Biology
#1
of 23 outputs
Altmetric has tracked 25,824,818 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 98% 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 48,721 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% 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.