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Experience of using an open source clinical trials data management software system in Kenya

Overview of attention for article published in BMC Research Notes, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Experience of using an open source clinical trials data management software system in Kenya
Published in
BMC Research Notes, January 2014
DOI 10.1186/1756-0500-7-845
Pubmed ID
Authors

Moses M Ngari, Naomi Waithira, Roma Chilengi, Patricia Njuguna, Trudie Lang, Greg Fegan

Abstract

Clinical trials data management (CTDM) remains one of the many challenges in running state of the art trials in resource-poor settings since most trials do not allocate, or have available, sufficient resources for CTDM and because of poor internet connectivity. Open-source software like OpenClinica could be a solution in such scenarios.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Kenya 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 21%
Researcher 8 21%
Other 7 18%
Student > Doctoral Student 3 8%
Student > Ph. D. Student 3 8%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 12 31%
Computer Science 6 15%
Social Sciences 3 8%
Business, Management and Accounting 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 7 18%
Unknown 6 15%

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 05 January 2015.
All research outputs
#3,818,268
of 14,473,506 outputs
Outputs from BMC Research Notes
#656
of 3,269 outputs
Outputs of similar age
#71,453
of 301,945 outputs
Outputs of similar age from BMC Research Notes
#52
of 231 outputs
Altmetric has tracked 14,473,506 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,269 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 79% 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 301,945 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 76% of its contemporaries.
We're also able to compare this research output to 231 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.