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Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study

Overview of attention for article published in Sao Paulo Medical Journal, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

q&a
1 Q&A thread

Citations

dimensions_citation
59 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Comparison of machine-learning algorithms to build a predictive model for detecting undiagnosed diabetes - ELSA-Brasil: accuracy study
Published in
Sao Paulo Medical Journal, June 2017
DOI 10.1590/1516-3180.2016.0309010217
Pubmed ID
Authors

André Rodrigues Olivera, Valter Roesler, Cirano Iochpe, Maria Inês Schmidt, Álvaro Vigo, Sandhi Maria Barreto, Bruce Bartholow Duncan

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 16%
Student > Ph. D. Student 10 14%
Student > Doctoral Student 7 10%
Student > Bachelor 7 10%
Researcher 6 9%
Other 6 9%
Unknown 23 33%
Readers by discipline Count As %
Computer Science 18 26%
Engineering 13 19%
Mathematics 3 4%
Nursing and Health Professions 2 3%
Medicine and Dentistry 2 3%
Other 9 13%
Unknown 23 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 February 2015.
All research outputs
#14,986,068
of 25,988,468 outputs
Outputs from Sao Paulo Medical Journal
#107
of 252 outputs
Outputs of similar age
#165,850
of 334,925 outputs
Outputs of similar age from Sao Paulo Medical Journal
#1
of 2 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 252 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 34th percentile – i.e., 34% 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 334,925 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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