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Modelling of the ICF core sets for chronic ischemic heart disease using the LASSO model in Chinese patients

Overview of attention for article published in Health and Quality of Life Outcomes, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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1 blog
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1 Facebook page
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1 Redditor

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Title
Modelling of the ICF core sets for chronic ischemic heart disease using the LASSO model in Chinese patients
Published in
Health and Quality of Life Outcomes, July 2018
DOI 10.1186/s12955-018-0957-0
Pubmed ID
Authors

Meng You, Wen Fang, Xu Wang, Tiantong Yang

Abstract

This study aimed to examine the associations among the International Classification of Functioning, Disability, and Health (ICF) core sets relevant to chronic ischemic heart disease (CIHD) using the least absolute shrinkage and selection operator (LASSO) model based on the ICF core sets scale in Chinese patients. This was a prospective study of 120 patients with CIHD selected from January 2013 to June 2014 at the Fada Institute of Forensic Medicine & Science (Beijing, China). Functioning was qualified using the ICF core sets checklist for CIHD (Chinese version). The variables of core set categories of the ICF assessment scale for CIHD were entered into the LASSO model for mining dependencies among those variables. Graphical modeling was applied using LASSO generalized linear models. "Muscle endurance functions", "sensations associated with cardiovascular and respiratory functions", "blood vessel functions", and "heart functions" were the most injured in CIHD status. "Recreation and leisure" and "intimate relationships" were the most affected in CIHD status. "General social support services, systems, and policies" and "acquaintances, peers, colleagues, neighbors, and community members" were important for the outcome of functional status of the CIHD patient. "Economic self-sufficiency" and "family relationships" of the CIHD patient were not undermined in most cases. Graphical modeling can be used to describe associations between different areas of functioning in CIHD patients. The results suggest that these associations could be used as basis to improve rehabilitation and provide a deeper understanding of functioning in Chinese CIHD patients.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Researcher 4 7%
Student > Postgraduate 4 7%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 15 26%
Unknown 18 31%
Readers by discipline Count As %
Medicine and Dentistry 7 12%
Nursing and Health Professions 7 12%
Social Sciences 5 9%
Computer Science 3 5%
Psychology 3 5%
Other 12 21%
Unknown 21 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 July 2018.
All research outputs
#3,982,598
of 23,094,276 outputs
Outputs from Health and Quality of Life Outcomes
#398
of 2,189 outputs
Outputs of similar age
#76,215
of 326,767 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#35
of 64 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,189 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 326,767 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 76% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.