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Identifying paediatric nursing-sensitive outcomes in linked administrative health data

Overview of attention for article published in BMC Health Services Research, July 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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1 X user
wikipedia
2 Wikipedia pages

Citations

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7 Dimensions

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80 Mendeley
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Title
Identifying paediatric nursing-sensitive outcomes in linked administrative health data
Published in
BMC Health Services Research, July 2012
DOI 10.1186/1472-6963-12-209
Pubmed ID
Authors

Sally Wilson, Alexandra P Bremner, Yvonne Hauck, Judith Finn

Abstract

There is increasing interest in the contribution of the quality of nursing care to patient outcomes. Due to different casemix and risk profiles, algorithms for administrative health data that identify nursing-sensitive outcomes in adult hospitalised patients may not be applicable to paediatric patients. The study purpose was to test adult algorithms in a paediatric hospital population and make amendments to increase the accuracy of identification of hospital acquired events. The study also aimed to determine whether the use of linked hospital records improved the likelihood of correctly identifying patient outcomes as nursing sensitive rather than being related to their pre-morbid conditions.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 3%
Unknown 78 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 14%
Student > Bachelor 9 11%
Other 7 9%
Lecturer 6 8%
Researcher 6 8%
Other 26 33%
Unknown 15 19%
Readers by discipline Count As %
Medicine and Dentistry 26 33%
Nursing and Health Professions 15 19%
Social Sciences 6 8%
Immunology and Microbiology 4 5%
Computer Science 2 3%
Other 11 14%
Unknown 16 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 March 2019.
All research outputs
#6,912,918
of 22,671,366 outputs
Outputs from BMC Health Services Research
#3,388
of 7,577 outputs
Outputs of similar age
#49,220
of 163,875 outputs
Outputs of similar age from BMC Health Services Research
#51
of 125 outputs
Altmetric has tracked 22,671,366 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,577 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has gotten more attention than average, scoring higher than 54% 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 163,875 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 68% of its contemporaries.
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 has gotten more attention than average, scoring higher than 53% of its contemporaries.