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Voice-based control system for smart hospital wards: a pilot study of patient acceptance

Overview of attention for article published in BMC Health Services Research, March 2022
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1 X user

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50 Mendeley
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Title
Voice-based control system for smart hospital wards: a pilot study of patient acceptance
Published in
BMC Health Services Research, March 2022
DOI 10.1186/s12913-022-07668-1
Pubmed ID
Authors

Wen-Shan Jian, Ju-Yu Wang, Annisa Ristya Rahmanti, Shuo-Chen Chien, Chun-Kung Hsu, Chia-Hui Chien, Yu-Chuan Li, Chun-You Chen, Yen-Po Chin, Chen-Ling Huang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 10%
Lecturer 5 10%
Student > Bachelor 4 8%
Professor 3 6%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 24 48%
Readers by discipline Count As %
Computer Science 8 16%
Business, Management and Accounting 5 10%
Nursing and Health Professions 4 8%
Economics, Econometrics and Finance 2 4%
Unspecified 1 2%
Other 4 8%
Unknown 26 52%
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 03 March 2022.
All research outputs
#18,764,674
of 23,257,423 outputs
Outputs from BMC Health Services Research
#6,619
of 7,785 outputs
Outputs of similar age
#318,015
of 440,932 outputs
Outputs of similar age from BMC Health Services Research
#218
of 258 outputs
Altmetric has tracked 23,257,423 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 7,785 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one is in the 6th percentile – i.e., 6% 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 440,932 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 258 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.