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X Demographics
Mendeley readers
Attention Score in Context
Title |
Prediction of gastrointestinal disease with over-the-counter diarrheal remedy sales records in the San Francisco Bay Area
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, July 2010
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DOI | 10.1186/1472-6947-10-39 |
Pubmed ID | |
Authors |
Michelle L Kirian, June M Weintraub |
Abstract |
Water utilities continue to be interested in implementing syndromic surveillance for the enhanced detection of waterborne disease outbreaks. The authors evaluated the ability of sales of over-the-counter diarrheal remedies available from the National Retail Data Monitor to predict endemic and epidemic gastrointestinal disease in the San Francisco Bay Area. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 43 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 18% |
Student > Master | 7 | 16% |
Researcher | 6 | 13% |
Student > Doctoral Student | 4 | 9% |
Student > Bachelor | 3 | 7% |
Other | 13 | 29% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 24% |
Agricultural and Biological Sciences | 9 | 20% |
Computer Science | 5 | 11% |
Veterinary Science and Veterinary Medicine | 3 | 7% |
Environmental Science | 2 | 4% |
Other | 11 | 24% |
Unknown | 4 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 08 November 2013.
All research outputs
#18,353,475
of 22,729,647 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,566
of 1,985 outputs
Outputs of similar age
#84,887
of 94,528 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 8 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 94,528 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.