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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, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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6 X users

Citations

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16 Dimensions

Readers on

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56 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, November 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Kenya 1 2%
Unknown 53 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 25%
Researcher 8 14%
Other 6 11%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 3 5%
Other 7 13%
Unknown 14 25%
Readers by discipline Count As %
Medicine and Dentistry 14 25%
Computer Science 9 16%
Business, Management and Accounting 4 7%
Social Sciences 4 7%
Nursing and Health Professions 2 4%
Other 9 16%
Unknown 14 25%
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 05 January 2015.
All research outputs
#7,778,071
of 25,371,288 outputs
Outputs from BMC Research Notes
#1,170
of 4,513 outputs
Outputs of similar age
#99,920
of 369,734 outputs
Outputs of similar age from BMC Research Notes
#28
of 131 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 73% 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 369,734 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 72% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.