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The use of mobile phones as a data collection tool: A report from a household survey in South Africa

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2009
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  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
241 Dimensions

Readers on

mendeley
487 Mendeley
connotea
1 Connotea
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Title
The use of mobile phones as a data collection tool: A report from a household survey in South Africa
Published in
BMC Medical Informatics and Decision Making, December 2009
DOI 10.1186/1472-6947-9-51
Pubmed ID
Authors

Mark Tomlinson, Wesley Solomon, Yages Singh, Tanya Doherty, Mickey Chopra, Petrida Ijumba, Alexander C Tsai, Debra Jackson

Abstract

To investigate the feasibility, the ease of implementation, and the extent to which community health workers with little experience of data collection could be trained and successfully supervised to collect data using mobile phones in a large baseline survey

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

Geographical breakdown

Country Count As %
United Kingdom 5 1%
United States 4 <1%
Mexico 3 <1%
South Africa 3 <1%
Nigeria 2 <1%
Indonesia 1 <1%
Bangladesh 1 <1%
Kenya 1 <1%
Sweden 1 <1%
Other 5 1%
Unknown 461 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 109 22%
Researcher 83 17%
Student > Ph. D. Student 65 13%
Student > Postgraduate 35 7%
Student > Bachelor 29 6%
Other 96 20%
Unknown 70 14%
Readers by discipline Count As %
Medicine and Dentistry 92 19%
Computer Science 82 17%
Social Sciences 70 14%
Nursing and Health Professions 38 8%
Agricultural and Biological Sciences 24 5%
Other 101 21%
Unknown 80 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 August 2013.
All research outputs
#6,122,795
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#559
of 1,982 outputs
Outputs of similar age
#39,764
of 163,948 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 7 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,982 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 71% 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 163,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them