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Factors associated with nurses' user resistance to change of electronic health record systems

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2021
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2 X users

Citations

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14 Dimensions

Readers on

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125 Mendeley
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Title
Factors associated with nurses' user resistance to change of electronic health record systems
Published in
BMC Medical Informatics and Decision Making, July 2021
DOI 10.1186/s12911-021-01581-z
Pubmed ID
Authors

Younghee Cho, Mihui Kim, Mona Choi

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 125 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 12%
Student > Master 13 10%
Student > Bachelor 12 10%
Unspecified 6 5%
Student > Postgraduate 5 4%
Other 20 16%
Unknown 54 43%
Readers by discipline Count As %
Business, Management and Accounting 21 17%
Nursing and Health Professions 18 14%
Unspecified 6 5%
Social Sciences 5 4%
Medicine and Dentistry 4 3%
Other 14 11%
Unknown 57 46%
Attention Score in Context

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 16 August 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,598
of 2,024 outputs
Outputs of similar age
#290,466
of 404,849 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#50
of 65 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,024 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 404,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.