| Title |
DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants
|
|---|---|
| Published in |
Nucleic Acids Research, October 2016
|
| DOI | 10.1093/nar/gkw943 |
| Pubmed ID | |
| Authors |
Janet Piñero, Àlex Bravo, Núria Queralt-Rosinach, Alba Gutiérrez-Sacristán, Jordi Deu-Pons, Emilio Centeno, Javier García-García, Ferran Sanz, Laura I. Furlong |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 29% |
| United States | 3 | 18% |
| United Kingdom | 2 | 12% |
| Montenegro | 1 | 6% |
| India | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 59% |
| Scientists | 6 | 35% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 905 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | <1% |
| Netherlands | 1 | <1% |
| Bulgaria | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Luxembourg | 1 | <1% |
| Croatia | 1 | <1% |
| Unknown | 897 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 158 | 17% |
| Researcher | 135 | 15% |
| Student > Master | 114 | 13% |
| Student > Bachelor | 68 | 8% |
| Student > Postgraduate | 40 | 4% |
| Other | 106 | 12% |
| Unknown | 284 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 213 | 24% |
| Agricultural and Biological Sciences | 120 | 13% |
| Computer Science | 82 | 9% |
| Medicine and Dentistry | 42 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 31 | 3% |
| Other | 88 | 10% |
| Unknown | 329 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 17 May 2020.
All research outputs
#1,510,555
of 25,766,791 outputs
Outputs from Nucleic Acids Research
#1,087
of 27,715 outputs
Outputs of similar age
#26,566
of 324,270 outputs
Outputs of similar age from Nucleic Acids Research
#26
of 348 outputs
Altmetric has tracked 25,766,791 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 27,715 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 96% 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 324,270 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 91% of its contemporaries.
We're also able to compare this research output to 348 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.