↓ Skip to main content

Machine Learning Models for the Prediction of Chemotherapy-Induced Peripheral Neuropathy

Overview of attention for article published in Pharmaceutical Research, January 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
64 Mendeley
Title
Machine Learning Models for the Prediction of Chemotherapy-Induced Peripheral Neuropathy
Published in
Pharmaceutical Research, January 2019
DOI 10.1007/s11095-018-2562-7
Pubmed ID
Authors

Peter Bloomingdale, Donald E. Mager

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 16%
Researcher 9 14%
Student > Bachelor 4 6%
Other 4 6%
Student > Master 4 6%
Other 7 11%
Unknown 26 41%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 11 17%
Medicine and Dentistry 6 9%
Computer Science 5 8%
Nursing and Health Professions 3 5%
Agricultural and Biological Sciences 2 3%
Other 9 14%
Unknown 28 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 January 2019.
All research outputs
#18,664,348
of 23,124,001 outputs
Outputs from Pharmaceutical Research
#2,492
of 2,873 outputs
Outputs of similar age
#324,442
of 437,017 outputs
Outputs of similar age from Pharmaceutical Research
#23
of 32 outputs
Altmetric has tracked 23,124,001 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,873 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 437,017 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.