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Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents

Overview of attention for article published in BMC Health Services Research, January 2014
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1 tweeter

Citations

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Readers on

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32 Mendeley
Title
Validity of the RAI-MDS for ascertaining diabetes and comorbid conditions in long-term care facility residents
Published in
BMC Health Services Research, January 2014
DOI 10.1186/1472-6963-14-17
Pubmed ID
Authors

Lisa M Lix, Lin Yan, David Blackburn, Nianping Hu, Verena Schneider-Lindner, Gary F Teare

Abstract

This study assessed the validity of the Resident Assessment Instrument Minimum Data Set (RAI-MDS) Version 2.0 for diagnoses of diabetes and comorbid conditions in residents of long-term care facilities (LTCFs).

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

Geographical breakdown

Country Count As %
Spain 1 3%
Canada 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 25%
Researcher 4 13%
Student > Doctoral Student 4 13%
Unspecified 4 13%
Student > Ph. D. Student 4 13%
Other 8 25%
Readers by discipline Count As %
Medicine and Dentistry 14 44%
Unspecified 4 13%
Nursing and Health Professions 3 9%
Mathematics 3 9%
Social Sciences 3 9%
Other 5 16%

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 19 January 2014.
All research outputs
#9,081,706
of 11,344,222 outputs
Outputs from BMC Health Services Research
#2,979
of 3,598 outputs
Outputs of similar age
#143,652
of 212,191 outputs
Outputs of similar age from BMC Health Services Research
#108
of 125 outputs
Altmetric has tracked 11,344,222 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 3,598 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. 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 212,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.