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Design and implementation of a mobile health electronic data capture platform that functions in fully-disconnected settings: a pilot study in rural Liberia

Overview of attention for article published in BMC Medical Informatics and Decision Making, February 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
78 Mendeley
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Title
Design and implementation of a mobile health electronic data capture platform that functions in fully-disconnected settings: a pilot study in rural Liberia
Published in
BMC Medical Informatics and Decision Making, February 2020
DOI 10.1186/s12911-020-1059-6
Pubmed ID
Authors

Avi Kenny, Nicholas Gordon, Jordan Downey, Owen Eddins, Kathleen Buchholz, Alvin Menyon, William Mansah

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

Geographical breakdown

Country Count As %
Unknown 78 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Bachelor 9 12%
Student > Master 9 12%
Student > Doctoral Student 4 5%
Other 4 5%
Other 10 13%
Unknown 27 35%
Readers by discipline Count As %
Computer Science 9 12%
Social Sciences 7 9%
Medicine and Dentistry 6 8%
Business, Management and Accounting 5 6%
Psychology 3 4%
Other 13 17%
Unknown 35 45%
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 10 March 2020.
All research outputs
#7,507,557
of 23,198,445 outputs
Outputs from BMC Medical Informatics and Decision Making
#760
of 2,018 outputs
Outputs of similar age
#138,958
of 361,704 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#14
of 34 outputs
Altmetric has tracked 23,198,445 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,018 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 61% 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 361,704 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 61% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.