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An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

twitter
16 tweeters

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
394 Mendeley
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Title
An investigation of the effect of nurses’ technology readiness on the acceptance of mobile electronic medical record systems
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-88
Pubmed ID
Authors

Kuang-Ming Kuo, Chung-Feng Liu, Chen-Chung Ma

Abstract

Adopting mobile electronic medical record (MEMR) systems is expected to be one of the superior approaches for improving nurses' bedside and point of care services. However, nurses may use the functions for far fewer tasks than the MEMR supports. This may depend on their technological personality associated to MEMR acceptance. The purpose of this study is to investigate nurses' personality traits in regard to technology readiness toward MEMR acceptance.

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters 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 394 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Bangladesh 2 <1%
Indonesia 1 <1%
Malaysia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Brazil 1 <1%
Unknown 383 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 110 28%
Student > Ph. D. Student 71 18%
Student > Bachelor 39 10%
Student > Doctoral Student 33 8%
Researcher 30 8%
Other 63 16%
Unknown 48 12%
Readers by discipline Count As %
Medicine and Dentistry 64 16%
Computer Science 64 16%
Business, Management and Accounting 57 14%
Nursing and Health Professions 48 12%
Social Sciences 36 9%
Other 59 15%
Unknown 66 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 20 March 2014.
All research outputs
#1,628,744
of 14,193,901 outputs
Outputs from BMC Medical Informatics and Decision Making
#160
of 1,312 outputs
Outputs of similar age
#19,628
of 157,215 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 14,193,901 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,312 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 87% 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 157,215 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them