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Staff experiences within the implementation of computer-based nursing records in residential aged care facilities: a systematic review and synthesis of qualitative research

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

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

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5 X users

Citations

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40 Dimensions

Readers on

mendeley
152 Mendeley
Title
Staff experiences within the implementation of computer-based nursing records in residential aged care facilities: a systematic review and synthesis of qualitative research
Published in
BMC Medical Informatics and Decision Making, June 2014
DOI 10.1186/1472-6947-14-54
Pubmed ID
Authors

Anne Meißner, Wilfried Schnepp

Abstract

Since the introduction of electronic nursing documentation systems, its implementation in recent years has increased rapidly in Germany. The objectives of such systems are to save time, to improve information handling and to improve quality. To integrate IT in the daily working processes, the employee is the pivotal element. Therefore it is important to understand nurses' experience with IT implementation. At present the literature shows a lack of understanding exploring staff experiences within the implementation process.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Malaysia 1 <1%
Unknown 150 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 21%
Researcher 16 11%
Student > Ph. D. Student 15 10%
Student > Doctoral Student 13 9%
Student > Bachelor 9 6%
Other 25 16%
Unknown 42 28%
Readers by discipline Count As %
Nursing and Health Professions 40 26%
Medicine and Dentistry 25 16%
Computer Science 10 7%
Social Sciences 8 5%
Engineering 5 3%
Other 17 11%
Unknown 47 31%
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 03 March 2016.
All research outputs
#12,607,920
of 22,757,541 outputs
Outputs from BMC Medical Informatics and Decision Making
#831
of 1,985 outputs
Outputs of similar age
#103,002
of 228,326 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 29 outputs
Altmetric has tracked 22,757,541 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 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 57% 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 228,326 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 54% of its contemporaries.
We're also able to compare this research output to 29 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 51% of its contemporaries.