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Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study

Overview of attention for article published in BMC Medicine, January 2015
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3 X users
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1 Facebook page

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80 Mendeley
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Title
Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study
Published in
BMC Medicine, January 2015
DOI 10.1186/s12916-014-0245-8
Pubmed ID
Authors

Spencer L James, Minerva Romero, Dolores Ramírez-Villalobos, Sara Gómez, Kelsey Pierce, Abraham Flaxman, Peter Serina, Andrea Stewart, Christopher JL Murray, Emmanuela Gakidou, Rafael Lozano, Bernardo Hernandez

Abstract

Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing measurement systems in the developing world and the lack of biometry tests for non-communicable diseases. Diagnosis based on self-reported signs and symptoms ("Symptomatic Diagnosis," or SD) analyzed with computer-based algorithms may be a promising method for collecting timely and reliable information on non-communicable disease prevalence. The objective of this study was to develop and assess the performance of a symptom-based questionnaire to estimate prevalence of non-communicable diseases in low-resource areas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 79 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Master 12 15%
Student > Bachelor 11 14%
Student > Doctoral Student 7 9%
Student > Ph. D. Student 5 6%
Other 12 15%
Unknown 21 26%
Readers by discipline Count As %
Medicine and Dentistry 21 26%
Psychology 7 9%
Nursing and Health Professions 5 6%
Agricultural and Biological Sciences 4 5%
Computer Science 2 3%
Other 13 16%
Unknown 28 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 January 2015.
All research outputs
#14,208,760
of 22,780,165 outputs
Outputs from BMC Medicine
#2,926
of 3,419 outputs
Outputs of similar age
#187,097
of 352,182 outputs
Outputs of similar age from BMC Medicine
#53
of 58 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,419 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one is in the 13th percentile – i.e., 13% 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 352,182 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.