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Significant EHR Feature-Driven T2D Inference: Predictive Machine Learning and Networks

Overview of attention for article published in Frontiers in Big Data, September 2019
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1 X user

Citations

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4 Dimensions

Readers on

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21 Mendeley
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Title
Significant EHR Feature-Driven T2D Inference: Predictive Machine Learning and Networks
Published in
Frontiers in Big Data, September 2019
DOI 10.3389/fdata.2019.00030
Pubmed ID
Authors

Nicolo' Preo, Enrico Capobianco

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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Student > Bachelor 2 10%
Other 2 10%
Lecturer 1 5%
Researcher 1 5%
Other 0 0%
Unknown 10 48%
Readers by discipline Count As %
Computer Science 6 29%
Medicine and Dentistry 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Economics, Econometrics and Finance 1 5%
Neuroscience 1 5%
Other 0 0%
Unknown 10 48%
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 27 September 2019.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Frontiers in Big Data
#1
of 1 outputs
Outputs of similar age
#275,925
of 361,101 outputs
Outputs of similar age from Frontiers in Big Data
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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 361,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them