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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis
|
|---|---|
| Published in |
Nature Genetics, November 2015
|
| DOI | 10.1038/ng.3431 |
| Pubmed ID | |
| Authors |
Po-Ru Loh, Gaurav Bhatia, Alexander Gusev, Hilary K Finucane, Brendan K Bulik-Sullivan, Samuela J Pollack, Teresa R de Candia, Sang Hong Lee, Naomi R Wray, Kenneth S Kendler, Michael C O'Donovan, Benjamin M Neale, Nick Patterson, Alkes L Price |
X Demographics
The data shown below were collected from the profiles of 24 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 | 8 | 33% |
| United Kingdom | 3 | 13% |
| Poland | 2 | 8% |
| Russia | 1 | 4% |
| Ireland | 1 | 4% |
| Spain | 1 | 4% |
| Australia | 1 | 4% |
| Unknown | 7 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 54% |
| Scientists | 9 | 38% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 435 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 2% |
| United Kingdom | 2 | <1% |
| Hong Kong | 1 | <1% |
| Australia | 1 | <1% |
| Finland | 1 | <1% |
| Hungary | 1 | <1% |
| Canada | 1 | <1% |
| Italy | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 417 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 112 | 26% |
| Researcher | 96 | 22% |
| Student > Master | 52 | 12% |
| Student > Bachelor | 29 | 7% |
| Student > Postgraduate | 18 | 4% |
| Other | 66 | 15% |
| Unknown | 62 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 107 | 25% |
| Biochemistry, Genetics and Molecular Biology | 101 | 23% |
| Medicine and Dentistry | 46 | 11% |
| Neuroscience | 24 | 6% |
| Computer Science | 21 | 5% |
| Other | 50 | 11% |
| Unknown | 86 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 14 May 2024.
All research outputs
#1,124,748
of 25,899,121 outputs
Outputs from Nature Genetics
#1,852
of 7,646 outputs
Outputs of similar age
#16,599
of 297,368 outputs
Outputs of similar age from Nature Genetics
#30
of 63 outputs
Altmetric has tracked 25,899,121 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,646 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.8. This one has done well, scoring higher than 75% 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 297,368 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 94% of its contemporaries.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.