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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Common polygenic variation enhances risk prediction for Alzheimer’s disease
|
|---|---|
| Published in |
Brain, October 2015
|
| DOI | 10.1093/brain/awv268 |
| Pubmed ID | |
| Authors |
Valentina Escott-Price, Rebecca Sims, Christian Bannister, Denise Harold, Maria Vronskaya, Elisa Majounie, Nandini Badarinarayan, Kevin Morgan, Peter Passmore, Clive Holmes, John Powell, Carol Brayne, Michael Gill, Simon Mead, Alison Goate, Carlos Cruchaga, Jean-Charles Lambert, Cornelia van Duijn, Wolfgang Maier, Alfredo Ramirez, Peter Holmans, Lesley Jones, John Hardy, Sudha Seshadri, Gerard D Schellenberg, Philippe Amouyel, Julie Williams |
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 Kingdom | 11 | 46% |
| Hong Kong | 1 | 4% |
| Canada | 1 | 4% |
| Australia | 1 | 4% |
| Germany | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 50% |
| Science communicators (journalists, bloggers, editors) | 5 | 21% |
| Scientists | 4 | 17% |
| Practitioners (doctors, other healthcare professionals) | 3 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 468 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 463 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 100 | 21% |
| Student > Ph. D. Student | 73 | 16% |
| Student > Master | 53 | 11% |
| Student > Bachelor | 38 | 8% |
| Professor | 23 | 5% |
| Other | 80 | 17% |
| Unknown | 101 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 80 | 17% |
| Neuroscience | 77 | 16% |
| Medicine and Dentistry | 57 | 12% |
| Agricultural and Biological Sciences | 56 | 12% |
| Psychology | 22 | 5% |
| Other | 45 | 10% |
| Unknown | 131 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 January 2024.
All research outputs
#1,331,649
of 25,728,350 outputs
Outputs from Brain
#1,401
of 7,680 outputs
Outputs of similar age
#19,279
of 294,959 outputs
Outputs of similar age from Brain
#17
of 85 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.0. 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 294,959 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 93% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.