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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Personalized cancer therapy prioritization based on driver alteration co-occurrence patterns
|
|---|---|
| Published in |
Genome Medicine, September 2020
|
| DOI | 10.1186/s13073-020-00774-x |
| Pubmed ID | |
| Authors |
Lidia Mateo, Miquel Duran-Frigola, Albert Gris-Oliver, Marta Palafox, Maurizio Scaltriti, Pedram Razavi, Sarat Chandarlapaty, Joaquin Arribas, Meritxell Bellet, Violeta Serra, Patrick Aloy |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Canada | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 71% |
| Scientists | 1 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 23% |
| Other | 7 | 10% |
| Student > Ph. D. Student | 5 | 7% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 20 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 20% |
| Medicine and Dentistry | 9 | 13% |
| Agricultural and Biological Sciences | 9 | 13% |
| Chemistry | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 25 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 October 2020.
All research outputs
#599,587
of 23,237,082 outputs
Outputs from Genome Medicine
#117
of 1,453 outputs
Outputs of similar age
#18,606
of 401,096 outputs
Outputs of similar age from Genome Medicine
#5
of 23 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,453 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one has done particularly well, scoring higher than 91% 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 401,096 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 95% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.