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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic
|
---|---|
Published in |
JCO Clinical Cancer Informatics, December 2019
|
DOI | 10.1200/cci.18.00056 |
Pubmed ID | |
Authors |
Manuela Salvucci, Arman Rahman, Alexa J Resler, Girish M Udupi, Deborah A McNamara, Elaine W Kay, Pierre Laurent-Puig, Daniel B Longley, Patrick G Johnston, Mark Lawler, Richard Wilson, Manuel Salto-Tellez, Sandra Van Schaeybroeck, Mairin Rafferty, William M Gallagher, Markus Rehm, Jochen H M Prehn |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Ireland | 2 | 22% |
United States | 1 | 11% |
France | 1 | 11% |
Switzerland | 1 | 11% |
United Kingdom | 1 | 11% |
Italy | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 44% |
Members of the public | 3 | 33% |
Practitioners (doctors, other healthcare professionals) | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 17% |
Student > Ph. D. Student | 7 | 17% |
Researcher | 5 | 12% |
Student > Doctoral Student | 2 | 5% |
Student > Bachelor | 2 | 5% |
Other | 7 | 17% |
Unknown | 11 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 15% |
Medicine and Dentistry | 5 | 12% |
Computer Science | 4 | 10% |
Psychology | 3 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Other | 8 | 20% |
Unknown | 13 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 02 July 2019.
All research outputs
#5,838,396
of 23,337,345 outputs
Outputs from JCO Clinical Cancer Informatics
#274
of 562 outputs
Outputs of similar age
#122,966
of 460,710 outputs
Outputs of similar age from JCO Clinical Cancer Informatics
#48
of 88 outputs
Altmetric has tracked 23,337,345 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 562 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 51% 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 460,710 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.