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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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15 X users

Citations

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175 Dimensions

Readers on

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550 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 550 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%
Malaysia 1 <1%
Brazil 1 <1%
Indonesia 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Unknown 539 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 125 23%
Student > Ph. D. Student 84 15%
Student > Bachelor 46 8%
Researcher 38 7%
Student > Doctoral Student 32 6%
Other 88 16%
Unknown 137 25%
Readers by discipline Count As %
Business, Management and Accounting 72 13%
Computer Science 70 13%
Medicine and Dentistry 66 12%
Nursing and Health Professions 64 12%
Social Sciences 40 7%
Other 79 14%
Unknown 159 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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
#3,521,020
of 25,263,619 outputs
Outputs from BMC Medical Informatics and Decision Making
#277
of 2,137 outputs
Outputs of similar age
#28,968
of 204,667 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#9
of 41 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,137 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 204,667 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 85% of its contemporaries.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.