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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factors
|
|---|---|
| Published in |
BioData Mining, June 2014
|
| DOI | 10.1186/1756-0381-7-10 |
| Pubmed ID | |
| Authors |
Timothy H Ciesielski, Sarah A Pendergrass, Marquitta J White, Nuri Kodaman, Rafal S Sobota, Minjun Huang, Jacquelaine Bartlett, Jing Li, Qinxin Pan, Jiang Gui, Scott B Selleck, Christopher I Amos, Marylyn D Ritchie, Jason H Moore, Scott M Williams |
X Demographics
The data shown below were collected from the profiles of 13 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 | 5 | 38% |
| France | 2 | 15% |
| Finland | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 62% |
| Members of the public | 2 | 15% |
| Practitioners (doctors, other healthcare professionals) | 2 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
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 % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 26 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 30% |
| Student > Ph. D. Student | 6 | 22% |
| Professor | 3 | 11% |
| Student > Postgraduate | 3 | 11% |
| Student > Master | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 19% |
| Agricultural and Biological Sciences | 5 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 15% |
| Social Sciences | 4 | 15% |
| Medicine and Dentistry | 2 | 7% |
| Other | 4 | 15% |
| Unknown | 3 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 April 2024.
All research outputs
#4,753,697
of 25,779,988 outputs
Outputs from BioData Mining
#92
of 325 outputs
Outputs of similar age
#43,134
of 242,725 outputs
Outputs of similar age from BioData Mining
#3
of 7 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 71% 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 242,725 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 82% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.