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Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network

Overview of attention for article published in Annals of Operations Research, April 2017
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1 X user

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80 Mendeley
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Title
Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network
Published in
Annals of Operations Research, April 2017
DOI 10.1007/s10479-017-2489-0
Authors

Kazim Topuz, Hasmet Uner, Asil Oztekin, Mehmet Bayram Yildirim

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

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Professor 8 10%
Student > Ph. D. Student 7 9%
Researcher 6 8%
Student > Doctoral Student 5 6%
Other 17 21%
Unknown 23 29%
Readers by discipline Count As %
Engineering 13 16%
Computer Science 11 14%
Business, Management and Accounting 8 10%
Medicine and Dentistry 8 10%
Nursing and Health Professions 4 5%
Other 10 13%
Unknown 26 33%
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 16 April 2017.
All research outputs
#18,541,268
of 22,963,381 outputs
Outputs from Annals of Operations Research
#558
of 725 outputs
Outputs of similar age
#235,051
of 308,987 outputs
Outputs of similar age from Annals of Operations Research
#11
of 11 outputs
Altmetric has tracked 22,963,381 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 725 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 8th percentile – i.e., 8% 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 308,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.