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User evaluation of a novel SMS-based reminder system for supporting post-stroke rehabilitation

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2019
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Mentioned by

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2 X users
facebook
1 Facebook page

Citations

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14 Dimensions

Readers on

mendeley
102 Mendeley
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Title
User evaluation of a novel SMS-based reminder system for supporting post-stroke rehabilitation
Published in
BMC Medical Informatics and Decision Making, July 2019
DOI 10.1186/s12911-019-0847-3
Pubmed ID
Authors

Uno Fors, Julius T. Kamwesiga, Gunilla M. Eriksson, Lena von Koch, Susanne Guidetti

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

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 17 17%
Student > Master 16 16%
Student > Ph. D. Student 8 8%
Student > Doctoral Student 5 5%
Researcher 5 5%
Other 14 14%
Unknown 37 36%
Readers by discipline Count As %
Nursing and Health Professions 19 19%
Medicine and Dentistry 12 12%
Social Sciences 8 8%
Neuroscience 5 5%
Psychology 4 4%
Other 13 13%
Unknown 41 40%
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 09 July 2019.
All research outputs
#16,099,609
of 23,881,329 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,355
of 2,030 outputs
Outputs of similar age
#217,189
of 350,415 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#36
of 43 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,030 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 350,415 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
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 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.