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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OSCA: a tool for omic-data-based complex trait analysis
|
|---|---|
| Published in |
Genome Biology, May 2019
|
| DOI | 10.1186/s13059-019-1718-z |
| Pubmed ID | |
| Authors |
Futao Zhang, Wenhan Chen, Zhihong Zhu, Qian Zhang, Marta F. Nabais, Ting Qi, Ian J. Deary, Naomi R. Wray, Peter M. Visscher, Allan F. McRae, Jian Yang |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 9 | 24% |
| United Kingdom | 6 | 16% |
| United States | 5 | 13% |
| China | 2 | 5% |
| India | 1 | 3% |
| Comoros | 1 | 3% |
| Germany | 1 | 3% |
| Unknown | 13 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 53% |
| Scientists | 15 | 39% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 22% |
| Researcher | 21 | 20% |
| Student > Master | 15 | 14% |
| Student > Doctoral Student | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Other | 14 | 13% |
| Unknown | 20 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 26% |
| Agricultural and Biological Sciences | 23 | 22% |
| Medicine and Dentistry | 8 | 8% |
| Neuroscience | 5 | 5% |
| Computer Science | 3 | 3% |
| Other | 14 | 13% |
| Unknown | 25 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 18 February 2021.
All research outputs
#1,718,950
of 25,661,882 outputs
Outputs from Genome Biology
#1,392
of 4,498 outputs
Outputs of similar age
#36,673
of 365,145 outputs
Outputs of similar age from Genome Biology
#39
of 67 outputs
Altmetric has tracked 25,661,882 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,498 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 69% 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 365,145 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 89% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.