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Healthcare professionals’ acceptance of BelRAI, a web-based system enabling person-centred recording and data sharing across care settings with interRAI instruments: a UTAUT analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2013
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  • Average Attention Score compared to outputs of the same age and source

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Citations

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72 Dimensions

Readers on

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295 Mendeley
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Title
Healthcare professionals’ acceptance of BelRAI, a web-based system enabling person-centred recording and data sharing across care settings with interRAI instruments: a UTAUT analysis
Published in
BMC Medical Informatics and Decision Making, November 2013
DOI 10.1186/1472-6947-13-129
Pubmed ID
Authors

Dirk Vanneste, Bram Vermeulen, Anja Declercq

Abstract

Healthcare and social care environments are increasingly confronted with older persons with long-term care needs. Consequently, the need for integrated and coordinated assessment systems increases. In Belgium, feasibility studies have been conducted on the implementation and use of interRAI instruments offering opportunities to improve continuity and quality of care. However, the development and implementation of information technology to support a shared dataset is a difficult and gradual process. We explore the applicability of the UTAUT theoretical model in the BelRAI healthcare project to analyse the acceptance of the BelRAI web application by healthcare professionals in home care, nursing home care and acute hospital care for older people with disabilities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 295 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Spain 1 <1%
Korea, Republic of 1 <1%
Unknown 289 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 65 22%
Student > Ph. D. Student 40 14%
Researcher 38 13%
Student > Bachelor 21 7%
Student > Doctoral Student 17 6%
Other 59 20%
Unknown 55 19%
Readers by discipline Count As %
Nursing and Health Professions 48 16%
Medicine and Dentistry 38 13%
Business, Management and Accounting 32 11%
Computer Science 29 10%
Social Sciences 25 8%
Other 50 17%
Unknown 73 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 27 May 2016.
All research outputs
#7,125,453
of 22,733,113 outputs
Outputs from BMC Medical Informatics and Decision Making
#706
of 1,985 outputs
Outputs of similar age
#87,267
of 306,502 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 43 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 63% 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 306,502 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.