↓ Skip to main content

Using routine inpatient data to identify patients at risk of hospital readmission

Overview of attention for article published in BMC Health Services Research, June 2009
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
130 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Using routine inpatient data to identify patients at risk of hospital readmission
Published in
BMC Health Services Research, June 2009
DOI 10.1186/1472-6963-9-96
Pubmed ID
Authors

Stuart Howell, Michael Coory, Jennifer Martin, Stephen Duckett

Abstract

A relatively small percentage of patients with chronic medical conditions account for a much larger percentage of inpatient costs. There is some evidence that case-management can improve health and quality-of-life and reduce the number of times these patients are readmitted. To assess whether a statistical algorithm, based on routine inpatient data, can be used to identify patients at risk of readmission and who would therefore benefit from case-management.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Argentina 2 2%
Spain 2 2%
Iran, Islamic Republic of 1 <1%
Brazil 1 <1%
Unknown 121 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 22%
Student > Master 15 12%
Other 14 11%
Student > Doctoral Student 14 11%
Student > Ph. D. Student 12 9%
Other 26 20%
Unknown 20 15%
Readers by discipline Count As %
Medicine and Dentistry 56 43%
Nursing and Health Professions 15 12%
Engineering 6 5%
Social Sciences 5 4%
Agricultural and Biological Sciences 3 2%
Other 16 12%
Unknown 29 22%

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 01 October 2014.
All research outputs
#12,232,816
of 15,395,085 outputs
Outputs from BMC Health Services Research
#4,471
of 5,281 outputs
Outputs of similar age
#143,485
of 211,725 outputs
Outputs of similar age from BMC Health Services Research
#1
of 1 outputs
Altmetric has tracked 15,395,085 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 5,281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 7th percentile – i.e., 7% 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 211,725 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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