↓ Skip to main content

Identifying keys to success in reducing readmissions using the ideal transitions in care framework

Overview of attention for article published in BMC Health Services Research, September 2014
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
158 Mendeley
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
Identifying keys to success in reducing readmissions using the ideal transitions in care framework
Published in
BMC Health Services Research, September 2014
DOI 10.1186/1472-6963-14-423
Pubmed ID
Authors

Robert E Burke, Ruixin Guo, Allan V Prochazka, Gregory J Misky

Abstract

Systematic attempts to identify best practices for reducing hospital readmissions have been limited without a comprehensive framework for categorizing prior interventions. Our research aim was to categorize prior interventions to reduce hospital readmissions using the ten domains of the Ideal Transition of Care (ITC) framework, to evaluate which domains have been targeted in prior interventions and then examine the effect intervening on these domains had on reducing readmissions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Spain 1 <1%
Unknown 155 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Student > Ph. D. Student 20 13%
Researcher 15 9%
Student > Doctoral Student 14 9%
Student > Bachelor 14 9%
Other 44 28%
Unknown 28 18%
Readers by discipline Count As %
Medicine and Dentistry 44 28%
Nursing and Health Professions 24 15%
Social Sciences 18 11%
Pharmacology, Toxicology and Pharmaceutical Science 14 9%
Business, Management and Accounting 8 5%
Other 16 10%
Unknown 34 22%
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 01 October 2014.
All research outputs
#12,903,654
of 22,764,165 outputs
Outputs from BMC Health Services Research
#4,287
of 7,618 outputs
Outputs of similar age
#113,691
of 251,975 outputs
Outputs of similar age from BMC Health Services Research
#83
of 141 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,618 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 42nd percentile – i.e., 42% 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 251,975 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.