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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines
|
|---|---|
| Published in |
Cancer Epidemiology, Biomarkers & Prevention, June 2019
|
| DOI | 10.1158/1055-9965.epi-18-1132 |
| Pubmed ID | |
| Authors |
Stanley E Hooker, Leanne Woods-Burnham, Madhavi Bathina, Stacy Lloyd, Priyatham Gorjala, Ranjana Mitra, Larisa Nonn, K Sean Kimbro, Rick A Kittles |
X Demographics
The data shown below were collected from the profiles of 34 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 | 14 | 41% |
| Latvia | 1 | 3% |
| Canada | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 17 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 76% |
| Scientists | 7 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 23% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 5 | 11% |
| Professor > Associate Professor | 4 | 9% |
| Other | 5 | 11% |
| Unknown | 11 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 28% |
| Medicine and Dentistry | 9 | 19% |
| Agricultural and Biological Sciences | 5 | 11% |
| Engineering | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 12 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 90. 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 13 May 2021.
All research outputs
#480,033
of 25,775,807 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#180
of 4,869 outputs
Outputs of similar age
#10,131
of 366,469 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#2
of 55 outputs
Altmetric has tracked 25,775,807 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,869 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has done particularly well, scoring higher than 96% 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 366,469 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 97% of its contemporaries.
We're also able to compare this research output to 55 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 96% of its contemporaries.