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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A double epidemic model for the SARS propagation
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2003
|
| DOI | 10.1186/1471-2334-3-19 |
| Pubmed ID | |
| Authors |
Tuen Wai Ng, Gabriel Turinici, Antoine Danchin |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Unknown | 99 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 16% |
| Researcher | 16 | 15% |
| Student > Master | 12 | 11% |
| Student > Bachelor | 9 | 9% |
| Professor > Associate Professor | 5 | 5% |
| Other | 23 | 22% |
| Unknown | 23 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 15 | 14% |
| Agricultural and Biological Sciences | 10 | 10% |
| Medicine and Dentistry | 10 | 10% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Computer Science | 5 | 5% |
| Other | 26 | 25% |
| Unknown | 31 | 30% |
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 31 October 2022.
All research outputs
#15,555,227
of 25,104,329 outputs
Outputs from BMC Infectious Diseases
#4,062
of 8,451 outputs
Outputs of similar age
#48,693
of 54,377 outputs
Outputs of similar age from BMC Infectious Diseases
#3
of 4 outputs
Altmetric has tracked 25,104,329 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 49th percentile – i.e., 49% 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 54,377 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.