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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In silico prediction of novel therapeutic targets using gene–disease association data
|
|---|---|
| Published in |
Journal of Translational Medicine, August 2017
|
| DOI | 10.1186/s12967-017-1285-6 |
| Pubmed ID | |
| Authors |
Enrico Ferrero, Ian Dunham, Philippe Sanseau |
X Demographics
The data shown below were collected from the profiles of 47 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 | 12 | 26% |
| United States | 9 | 19% |
| Switzerland | 2 | 4% |
| Spain | 2 | 4% |
| Netherlands | 1 | 2% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Chile | 1 | 2% |
| Saudi Arabia | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 12 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 66% |
| Scientists | 16 | 34% |
Mendeley readers
The data shown below were compiled from readership statistics for 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 220 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 38 | 17% |
| Student > Ph. D. Student | 34 | 15% |
| Student > Master | 22 | 10% |
| Other | 16 | 7% |
| Student > Bachelor | 16 | 7% |
| Other | 28 | 13% |
| Unknown | 66 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 42 | 19% |
| Computer Science | 25 | 11% |
| Agricultural and Biological Sciences | 17 | 8% |
| Chemistry | 12 | 5% |
| Medicine and Dentistry | 11 | 5% |
| Other | 41 | 19% |
| Unknown | 72 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 12 October 2022.
All research outputs
#1,425,843
of 25,837,817 outputs
Outputs from Journal of Translational Medicine
#269
of 4,701 outputs
Outputs of similar age
#27,714
of 326,709 outputs
Outputs of similar age from Journal of Translational Medicine
#4
of 51 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 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 94% 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 326,709 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 51 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.