| Title |
LDtrait: An Online Tool for Identifying Published Phenotype Associations in Linkage Disequilibrium
|
|---|---|
| Published in |
Cancer Research, August 2020
|
| DOI | 10.1158/0008-5472.can-20-0985 |
| Pubmed ID | |
| Authors |
Shu-Hong Lin, Derek W Brown, Mitchell J Machiela |
X Demographics
The data shown below were collected from the profiles of 23 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 | 13 | 57% |
| Brazil | 1 | 4% |
| United Kingdom | 1 | 4% |
| Unknown | 8 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 70% |
| Scientists | 5 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 15% |
| Student > Master | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Unspecified | 2 | 7% |
| Student > Postgraduate | 2 | 7% |
| Other | 5 | 19% |
| Unknown | 9 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 41% |
| Unspecified | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 04 January 2021.
All research outputs
#2,024,051
of 23,220,133 outputs
Outputs from Cancer Research
#1,468
of 17,990 outputs
Outputs of similar age
#55,958
of 397,864 outputs
Outputs of similar age from Cancer Research
#33
of 309 outputs
Altmetric has tracked 23,220,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,990 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done particularly well, scoring higher than 91% 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 397,864 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 85% of its contemporaries.
We're also able to compare this research output to 309 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.