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A web-based laboratory information system to improve quality of care of tuberculosis patients in Peru: functional requirements, implementation and usage statistics

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

policy
1 policy source
twitter
4 tweeters

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
151 Mendeley
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Title
A web-based laboratory information system to improve quality of care of tuberculosis patients in Peru: functional requirements, implementation and usage statistics
Published in
BMC Medical Informatics and Decision Making, October 2007
DOI 10.1186/1472-6947-7-33
Pubmed ID
Authors

Joaquin A Blaya, Sonya S Shin, Martin JA Yagui, Gloria Yale, Carmen Z Suarez, Luis L Asencios, J Peter Cegielski, Hamish SF Fraser

Twitter Demographics

The data shown below were collected from the profiles of 4 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Nigeria 2 1%
Ghana 1 <1%
Brazil 1 <1%
Indonesia 1 <1%
Canada 1 <1%
Germany 1 <1%
China 1 <1%
South Africa 1 <1%
Other 0 0%
Unknown 137 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 23%
Researcher 18 12%
Student > Ph. D. Student 15 10%
Other 12 8%
Student > Doctoral Student 12 8%
Other 43 28%
Unknown 16 11%
Readers by discipline Count As %
Medicine and Dentistry 48 32%
Computer Science 22 15%
Social Sciences 15 10%
Engineering 7 5%
Nursing and Health Professions 6 4%
Other 33 22%
Unknown 20 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 January 2014.
All research outputs
#4,281,871
of 17,365,229 outputs
Outputs from BMC Medical Informatics and Decision Making
#390
of 1,573 outputs
Outputs of similar age
#58,160
of 265,421 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#43
of 158 outputs
Altmetric has tracked 17,365,229 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,573 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 74% 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 265,421 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 77% of its contemporaries.
We're also able to compare this research output to 158 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 73% of its contemporaries.