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X Demographics
Mendeley readers
Attention Score in Context
Title |
The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, December 2012
|
DOI | 10.1186/1472-6947-12-147 |
Pubmed ID | |
Authors |
Thomas Obadia, Romana Haneef, Pierre-Yves Boëlle |
Abstract |
Several generic methods have been proposed to estimate transmission parameters during an outbreak, especially the reproduction number. However, as of today, no dedicated software exists that implements these methods and allow comparisons. |
X Demographics
The data shown below were collected from the profiles of 85 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 12 | 14% |
United States | 6 | 7% |
United Kingdom | 5 | 6% |
Germany | 4 | 5% |
India | 3 | 4% |
Italy | 2 | 2% |
France | 2 | 2% |
Panama | 1 | 1% |
Bhutan | 1 | 1% |
Other | 7 | 8% |
Unknown | 42 | 49% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 64 | 75% |
Scientists | 15 | 18% |
Practitioners (doctors, other healthcare professionals) | 5 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 276 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 1% |
France | 2 | <1% |
Korea, Republic of | 1 | <1% |
Italy | 1 | <1% |
Ireland | 1 | <1% |
Unknown | 268 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 64 | 23% |
Student > Ph. D. Student | 56 | 20% |
Student > Master | 29 | 11% |
Professor | 17 | 6% |
Professor > Associate Professor | 13 | 5% |
Other | 51 | 18% |
Unknown | 46 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 52 | 19% |
Mathematics | 34 | 12% |
Agricultural and Biological Sciences | 26 | 9% |
Veterinary Science and Veterinary Medicine | 14 | 5% |
Computer Science | 12 | 4% |
Other | 64 | 23% |
Unknown | 74 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 82. 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 February 2023.
All research outputs
#520,908
of 25,462,162 outputs
Outputs from BMC Medical Informatics and Decision Making
#9
of 2,144 outputs
Outputs of similar age
#3,630
of 288,953 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 48 outputs
Altmetric has tracked 25,462,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 99% 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 288,953 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 98% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.