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A usability design checklist for Mobile electronic data capturing forms: the validation process

Overview of attention for article published in BMC Medical Informatics and Decision Making, January 2019
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82 Mendeley
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Title
A usability design checklist for Mobile electronic data capturing forms: the validation process
Published in
BMC Medical Informatics and Decision Making, January 2019
DOI 10.1186/s12911-018-0718-3
Pubmed ID
Authors

Alice Mugisha, Victoria Nankabirwa, Thorkild Tylleskär, Ankica Babic

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

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 16%
Student > Ph. D. Student 11 13%
Student > Bachelor 6 7%
Student > Doctoral Student 4 5%
Professor > Associate Professor 3 4%
Other 14 17%
Unknown 31 38%
Readers by discipline Count As %
Computer Science 16 20%
Social Sciences 7 9%
Medicine and Dentistry 6 7%
Engineering 5 6%
Nursing and Health Professions 4 5%
Other 12 15%
Unknown 32 39%
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 11 January 2019.
All research outputs
#20,588,763
of 23,173,635 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,827
of 2,016 outputs
Outputs of similar age
#372,324
of 438,603 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#42
of 51 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,016 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% 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 438,603 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.