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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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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
52 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

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 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Student > Master 7 13%
Student > Ph. D. Student 5 10%
Student > Postgraduate 2 4%
Student > Doctoral Student 1 2%
Other 5 10%
Unknown 22 42%
Readers by discipline Count As %
Nursing and Health Professions 10 19%
Business, Management and Accounting 8 15%
Biochemistry, Genetics and Molecular Biology 2 4%
Medicine and Dentistry 2 4%
Social Sciences 2 4%
Other 4 8%
Unknown 24 46%

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
#17,630,180
of 21,812,557 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,526
of 1,918 outputs
Outputs of similar age
#248,927
of 342,794 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 7 outputs
Altmetric has tracked 21,812,557 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,918 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 8th percentile – i.e., 8% 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 342,794 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 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.