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Using the LACE index to predict hospital readmissions in congestive heart failure patients

Overview of attention for article published in BMC Cardiovascular Disorders, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)

Mentioned by

news
1 news outlet
twitter
2 tweeters

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
106 Mendeley
Title
Using the LACE index to predict hospital readmissions in congestive heart failure patients
Published in
BMC Cardiovascular Disorders, August 2014
DOI 10.1186/1471-2261-14-97
Pubmed ID
Authors

Hao Wang, Richard D Robinson, Carlos Johnson, Nestor R Zenarosa, Rani D Jayswal, Joshua Keithley, Kathleen A Delaney

Abstract

The LACE index has been used to predict the risk of unplanned readmission within 30 days after hospital discharge in both medical and surgical patients. The aim of this study is to validate the accuracy of using the LACE index in CHF patients.

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

Geographical breakdown

Country Count As %
Spain 2 2%
United States 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 101 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 15%
Student > Master 12 11%
Student > Ph. D. Student 12 11%
Student > Bachelor 10 9%
Student > Postgraduate 10 9%
Other 31 29%
Unknown 15 14%
Readers by discipline Count As %
Medicine and Dentistry 40 38%
Nursing and Health Professions 17 16%
Computer Science 8 8%
Social Sciences 5 5%
Agricultural and Biological Sciences 4 4%
Other 13 12%
Unknown 19 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 October 2018.
All research outputs
#1,548,085
of 13,693,516 outputs
Outputs from BMC Cardiovascular Disorders
#55
of 863 outputs
Outputs of similar age
#24,483
of 193,013 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#1
of 1 outputs
Altmetric has tracked 13,693,516 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 863 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 93% of its peers.
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 193,013 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
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