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Mendeley readers
Attention Score in Context
Title |
Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium
|
---|---|
Published in |
BMC Infectious Diseases, January 2009
|
DOI | 10.1186/1471-2334-9-5 |
Pubmed ID | |
Authors |
Niel Hens, Nele Goeyvaerts, Marc Aerts, Ziv Shkedy, Pierre Van Damme, Philippe Beutels |
Mendeley readers
The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 2% |
United States | 3 | 2% |
Australia | 3 | 2% |
France | 2 | 2% |
Kenya | 2 | 2% |
Canada | 1 | <1% |
Italy | 1 | <1% |
Unknown | 111 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 35 | 28% |
Student > Ph. D. Student | 32 | 25% |
Student > Master | 11 | 9% |
Professor > Associate Professor | 9 | 7% |
Professor | 8 | 6% |
Other | 17 | 13% |
Unknown | 14 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 20% |
Mathematics | 25 | 20% |
Agricultural and Biological Sciences | 11 | 9% |
Social Sciences | 8 | 6% |
Computer Science | 5 | 4% |
Other | 26 | 21% |
Unknown | 26 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 16 April 2024.
All research outputs
#2,522,839
of 25,660,026 outputs
Outputs from BMC Infectious Diseases
#752
of 8,676 outputs
Outputs of similar age
#11,481
of 186,046 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 10 outputs
Altmetric has tracked 25,660,026 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,676 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one has done particularly well, scoring higher than 91% 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 186,046 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them