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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data
|
|---|---|
| Published in |
Genome Medicine, March 2019
|
| DOI | 10.1186/s13073-019-0628-8 |
| Pubmed ID | |
| Authors |
Juan Fernández-Tajes, Kyle J. Gaulton, Martijn van de Bunt, Jason Torres, Matthias Thurner, Anubha Mahajan, Anna L. Gloyn, Kasper Lage, Mark I. McCarthy |
X Demographics
The data shown below were collected from the profiles of 71 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 | 19 | 27% |
| United Kingdom | 13 | 18% |
| India | 3 | 4% |
| Germany | 2 | 3% |
| Denmark | 2 | 3% |
| Qatar | 1 | 1% |
| Switzerland | 1 | 1% |
| Guinea | 1 | 1% |
| Netherlands | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 25 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 48% |
| Scientists | 33 | 46% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 117 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 26% |
| Student > Ph. D. Student | 21 | 18% |
| Student > Master | 18 | 15% |
| Student > Bachelor | 7 | 6% |
| Other | 6 | 5% |
| Other | 16 | 14% |
| Unknown | 18 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 38% |
| Medicine and Dentistry | 14 | 12% |
| Agricultural and Biological Sciences | 10 | 9% |
| Computer Science | 6 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 3% |
| Other | 12 | 10% |
| Unknown | 27 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 41. 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 22 December 2019.
All research outputs
#1,026,870
of 25,732,188 outputs
Outputs from Genome Medicine
#196
of 1,610 outputs
Outputs of similar age
#23,547
of 365,266 outputs
Outputs of similar age from Genome Medicine
#3
of 21 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,610 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.1. This one has done well, scoring higher than 87% 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 365,266 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 21 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.