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A model for predicting utilization of mHealth interventions in low-resource settings: case of maternal and newborn care in Kenya

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2018
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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24 Dimensions

Readers on

mendeley
242 Mendeley
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Title
A model for predicting utilization of mHealth interventions in low-resource settings: case of maternal and newborn care in Kenya
Published in
BMC Medical Informatics and Decision Making, July 2018
DOI 10.1186/s12911-018-0649-z
Pubmed ID
Authors

Stephen Mburu, Robert Oboko

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

Geographical breakdown

Country Count As %
Unknown 242 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 47 19%
Researcher 22 9%
Student > Ph. D. Student 20 8%
Lecturer 15 6%
Student > Doctoral Student 15 6%
Other 37 15%
Unknown 86 36%
Readers by discipline Count As %
Nursing and Health Professions 37 15%
Medicine and Dentistry 26 11%
Computer Science 23 10%
Social Sciences 12 5%
Engineering 9 4%
Other 39 16%
Unknown 96 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 21 November 2018.
All research outputs
#15,552,610
of 23,114,117 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,329
of 2,013 outputs
Outputs of similar age
#189,788
of 296,637 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#16
of 28 outputs
Altmetric has tracked 23,114,117 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 2,013 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 296,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.