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A Machine Learning Platform to Optimize the Translation of Personalized Network Models to the Clinic

Overview of attention for article published in JCO Clinical Cancer Informatics, December 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
9 X users

Citations

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5 Dimensions

Readers on

mendeley
41 Mendeley
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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

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.
Mendeley readers

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

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.