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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Challenges and disparities in the application of personalized genomic medicine to populations with African ancestry
|
|---|---|
| Published in |
Nature Communications, October 2016
|
| DOI | 10.1038/ncomms12521 |
| Pubmed ID | |
| Authors |
Michael D. Kessler, Laura Yerges-Armstrong, Margaret A. Taub, Amol C. Shetty, Kristin Maloney, Linda Jo Bone Jeng, Ingo Ruczinski, Albert M. Levin, L. Keoki Williams, Terri H. Beaty, Rasika A. Mathias, Kathleen C. Barnes, Timothy D. O’Connor |
| Abstract |
To characterize the extent and impact of ancestry-related biases in precision genomic medicine, we use 642 whole-genome sequences from the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) project to evaluate typical filters and databases. We find significant correlations between estimated African ancestry proportions and the number of variants per individual in all variant classification sets but one. The source of these correlations is highlighted in more detail by looking at the interaction between filtering criteria and the ClinVar and Human Gene Mutation databases. ClinVar's correlation, representing African ancestry-related bias, has changed over time amidst monthly updates, with the most extreme switch happening between March and April of 2014 (r=0.733 to r=-0.683). We identify 68 SNPs as the major drivers of this change in correlation. As long as ancestry-related bias when using these clinical databases is minimally recognized, the genetics community will face challenges with implementation, interpretation and cost-effectiveness when treating minority populations. |
X Demographics
The data shown below were collected from the profiles of 43 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 | 21 | 49% |
| France | 2 | 5% |
| Australia | 2 | 5% |
| Spain | 2 | 5% |
| Russia | 1 | 2% |
| Belgium | 1 | 2% |
| Tanzania, United Republic of | 1 | 2% |
| Mexico | 1 | 2% |
| United Kingdom | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 11 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 22 | 51% |
| Scientists | 19 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 113 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 22 | 19% |
| Researcher | 21 | 18% |
| Student > Master | 12 | 10% |
| Student > Postgraduate | 7 | 6% |
| Student > Doctoral Student | 6 | 5% |
| Other | 25 | 22% |
| Unknown | 22 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 27% |
| Agricultural and Biological Sciences | 21 | 18% |
| Medicine and Dentistry | 14 | 12% |
| Immunology and Microbiology | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 14 | 12% |
| Unknown | 29 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 518. 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 12 June 2020.
All research outputs
#48,197
of 25,248,299 outputs
Outputs from Nature Communications
#777
of 55,895 outputs
Outputs of similar age
#955
of 327,565 outputs
Outputs of similar age from Nature Communications
#18
of 895 outputs
Altmetric has tracked 25,248,299 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 55,895 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. 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 327,565 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 895 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 98% of its contemporaries.