| Title |
The ethics of characterizing difference: guiding principles on using racial categories in human genetics
|
|---|---|
| Published in |
Genome Biology, July 2008
|
| DOI | 10.1186/gb-2008-9-7-404 |
| Pubmed ID | |
| Authors |
Sandra Soo-Jin Lee, Joanna Mountain, Barbara Koenig, Russ Altman, Melissa Brown, Albert Camarillo, Luca Cavalli-Sforza, Mildred Cho, Jennifer Eberhardt, Marcus Feldman, Richard Ford, Henry Greely, Roy King, Hazel Markus, Debra Satz, Matthew Snipp, Claude Steele, Peter Underhill |
X Demographics
The data shown below were collected from the profiles of 39 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 | 4 | 10% |
| Denmark | 2 | 5% |
| United Kingdom | 2 | 5% |
| Georgia | 1 | 3% |
| Croatia | 1 | 3% |
| Germany | 1 | 3% |
| Mexico | 1 | 3% |
| Australia | 1 | 3% |
| Taiwan | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 25 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 37 | 95% |
| Scientists | 1 | 3% |
| Unknown | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Mexico | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 115 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 24% |
| Student > Ph. D. Student | 19 | 15% |
| Student > Bachelor | 16 | 13% |
| Student > Master | 14 | 11% |
| Professor | 10 | 8% |
| Other | 24 | 19% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 30 | 24% |
| Agricultural and Biological Sciences | 29 | 23% |
| Medicine and Dentistry | 18 | 15% |
| Psychology | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 15 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 51. 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 16 March 2024.
All research outputs
#842,217
of 25,721,020 outputs
Outputs from Genome Biology
#555
of 4,507 outputs
Outputs of similar age
#1,673
of 96,672 outputs
Outputs of similar age from Genome Biology
#2
of 34 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done well, scoring higher than 87% 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 96,672 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 98% of its contemporaries.
We're also able to compare this research output to 34 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.