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A framework for the estimation and reduction of hospital readmission penalties using predictive analytics

Overview of attention for article published in Journal of Big Data, November 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 tweeters
facebook
1 Facebook page

Readers on

mendeley
30 Mendeley
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Title
A framework for the estimation and reduction of hospital readmission penalties using predictive analytics
Published in
Journal of Big Data, November 2017
DOI 10.1186/s40537-017-0098-z
Authors

Christopher Baechle, Ankur Agarwal

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 20%
Student > Master 6 20%
Lecturer 4 13%
Researcher 3 10%
Student > Bachelor 3 10%
Other 4 13%
Unknown 4 13%
Readers by discipline Count As %
Computer Science 14 47%
Nursing and Health Professions 4 13%
Business, Management and Accounting 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 1 3%
Unknown 8 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 December 2017.
All research outputs
#7,364,283
of 12,265,937 outputs
Outputs from Journal of Big Data
#73
of 104 outputs
Outputs of similar age
#148,669
of 287,410 outputs
Outputs of similar age from Journal of Big Data
#7
of 9 outputs
Altmetric has tracked 12,265,937 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 104 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one is in the 27th percentile – i.e., 27% 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 287,410 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 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.