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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving genetic prediction by leveraging genetic correlations among human diseases and traits
|
|---|---|
| Published in |
Nature Communications, March 2018
|
| DOI | 10.1038/s41467-017-02769-6 |
| Pubmed ID | |
| Authors |
Robert M. Maier, Zhihong Zhu, Sang Hong Lee, Maciej Trzaskowski, Douglas M. Ruderfer, Eli A. Stahl, Stephan Ripke, Naomi R. Wray, Jian Yang, Peter M. Visscher, Matthew R. Robinson |
X Demographics
The data shown below were collected from the profiles of 62 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 | 21% |
| United Kingdom | 6 | 10% |
| Australia | 4 | 6% |
| Netherlands | 4 | 6% |
| Germany | 4 | 6% |
| Canada | 2 | 3% |
| Finland | 1 | 2% |
| Switzerland | 1 | 2% |
| Belgium | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 24 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 53% |
| Scientists | 25 | 40% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 343 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 343 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 22% |
| Researcher | 69 | 20% |
| Student > Master | 23 | 7% |
| Professor | 23 | 7% |
| Other | 21 | 6% |
| Other | 52 | 15% |
| Unknown | 80 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 74 | 22% |
| Agricultural and Biological Sciences | 57 | 17% |
| Medicine and Dentistry | 43 | 13% |
| Neuroscience | 22 | 6% |
| Computer Science | 12 | 3% |
| Other | 36 | 10% |
| Unknown | 99 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 69. 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 21 January 2021.
All research outputs
#632,004
of 25,837,817 outputs
Outputs from Nature Communications
#10,897
of 58,118 outputs
Outputs of similar age
#14,392
of 350,347 outputs
Outputs of similar age from Nature Communications
#290
of 1,197 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one has done well, scoring higher than 81% 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 350,347 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 95% of its contemporaries.
We're also able to compare this research output to 1,197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.