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X Demographics
Mendeley readers
Attention Score in Context
Title |
Estimating global mortality from potentially foodborne diseases: an analysis using vital registration data
|
---|---|
Published in |
Population Health Metrics, March 2012
|
DOI | 10.1186/1478-7954-10-5 |
Pubmed ID | |
Authors |
Laura A Hanson, Elizabeth A Zahn, Sommer R Wild, Dörte Döpfer, James Scott, Claudia Stein |
Abstract |
Foodborne diseases (FBD) comprise a large part of the global mortality burden, yet the true extent of their impact remains unknown. The present study utilizes multiple regression with the first attempt to use nonhealth variables to predict potentially FBD mortality at the country level. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 33% |
France | 1 | 17% |
Spain | 1 | 17% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Kenya | 2 | 2% |
Unknown | 85 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 21% |
Student > Ph. D. Student | 13 | 15% |
Student > Bachelor | 13 | 15% |
Researcher | 11 | 13% |
Student > Doctoral Student | 4 | 5% |
Other | 11 | 13% |
Unknown | 17 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 23% |
Veterinary Science and Veterinary Medicine | 7 | 8% |
Medicine and Dentistry | 7 | 8% |
Environmental Science | 5 | 6% |
Social Sciences | 5 | 6% |
Other | 19 | 22% |
Unknown | 24 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 September 2021.
All research outputs
#3,400,923
of 24,716,872 outputs
Outputs from Population Health Metrics
#83
of 407 outputs
Outputs of similar age
#20,755
of 162,159 outputs
Outputs of similar age from Population Health Metrics
#2
of 5 outputs
Altmetric has tracked 24,716,872 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 407 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. 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 162,159 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 87% of its contemporaries.
We're also able to compare this research output to 5 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.