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Do nurses reason ‘adaptively’ in time limited situations: the findings of a descriptive regression analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

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3 X users
facebook
1 Facebook page

Citations

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6 Dimensions

Readers on

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37 Mendeley
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Title
Do nurses reason ‘adaptively’ in time limited situations: the findings of a descriptive regression analysis
Published in
BMC Medical Informatics and Decision Making, November 2014
DOI 10.1186/1472-6947-14-96
Pubmed ID
Authors

Huiqin Yang, Carl Thompson, Martin Bland

Abstract

Time pressure is common in acute healthcare and significantly influences clinical judgement and decision making. Despite nurses' judgements being studied since the 1960s, the empirical picture of how time pressure impacts on nurses' judgement strategies and outcomes remain undeveloped. This paper aims to assess alterations in nurses' judgement strategies and outcomes under time pressure in a simulated acute care setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 19%
Student > Master 5 14%
Student > Ph. D. Student 5 14%
Student > Doctoral Student 2 5%
Librarian 2 5%
Other 7 19%
Unknown 9 24%
Readers by discipline Count As %
Nursing and Health Professions 10 27%
Medicine and Dentistry 4 11%
Psychology 3 8%
Social Sciences 3 8%
Unspecified 2 5%
Other 4 11%
Unknown 11 30%
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 06 September 2018.
All research outputs
#13,183,066
of 22,770,070 outputs
Outputs from BMC Medical Informatics and Decision Making
#945
of 1,984 outputs
Outputs of similar age
#119,703
of 256,836 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#18
of 39 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 51% 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 256,836 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 52% of its contemporaries.
We're also able to compare this research output to 39 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.