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Classification of hospital admissions into emergency and elective care: a machine learning approach

Overview of attention for article published in Health Care Management Science, November 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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29 Dimensions

Readers on

mendeley
89 Mendeley
Title
Classification of hospital admissions into emergency and elective care: a machine learning approach
Published in
Health Care Management Science, November 2017
DOI 10.1007/s10729-017-9423-5
Pubmed ID
Authors

Jonas Krämer, Jonas Schreyögg, Reinhard Busse

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

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 22%
Student > Bachelor 11 12%
Student > Doctoral Student 8 9%
Student > Ph. D. Student 6 7%
Researcher 5 6%
Other 8 9%
Unknown 31 35%
Readers by discipline Count As %
Medicine and Dentistry 20 22%
Computer Science 6 7%
Engineering 5 6%
Business, Management and Accounting 5 6%
Nursing and Health Professions 4 4%
Other 11 12%
Unknown 38 43%
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 25 February 2019.
All research outputs
#15,562,306
of 23,130,383 outputs
Outputs from Health Care Management Science
#177
of 286 outputs
Outputs of similar age
#265,950
of 438,753 outputs
Outputs of similar age from Health Care Management Science
#2
of 4 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 286 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 30th percentile – i.e., 30% 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 438,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.