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Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2012
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Mentioned by

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2 tweeters

Citations

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18 Dimensions

Readers on

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95 Mendeley
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Title
Motivating medical information system performance by system quality, service quality, and job satisfaction for evidence-based practice
Published in
BMC Medical Informatics and Decision Making, November 2012
DOI 10.1186/1472-6947-12-135
Pubmed ID
Authors

Ching-Sheng Chang, Su-Yueh Chen, Yi-Ting Lan

Abstract

No previous studies have addressed the integrated relationships among system quality, service quality, job satisfaction, and system performance; this study attempts to bridge such a gap with evidence-based practice study.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
France 1 1%
Vietnam 1 1%
Unknown 92 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Student > Ph. D. Student 14 15%
Researcher 11 12%
Student > Bachelor 10 11%
Student > Doctoral Student 7 7%
Other 28 29%
Unknown 8 8%
Readers by discipline Count As %
Business, Management and Accounting 23 24%
Medicine and Dentistry 22 23%
Computer Science 12 13%
Social Sciences 8 8%
Nursing and Health Professions 7 7%
Other 11 12%
Unknown 12 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 January 2013.
All research outputs
#3,048,984
of 4,505,285 outputs
Outputs from BMC Medical Informatics and Decision Making
#638
of 754 outputs
Outputs of similar age
#193,808
of 280,252 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#56
of 66 outputs
Altmetric has tracked 4,505,285 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 754 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 280,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.