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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An artificially simulated outbreak of a respiratory infectious disease
|
|---|---|
| Published in |
BMC Public Health, January 2020
|
| DOI | 10.1186/s12889-020-8243-6 |
| Pubmed ID | |
| Authors |
Zuiyuan Guo, Shuang Xu, Libo Tong, Botao Dai, Yuandong Liu, Dan Xiao |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| Argentina | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Ph. D. Student | 5 | 13% |
| Student > Postgraduate | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 4 | 10% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 5 | 13% |
| Medicine and Dentistry | 4 | 10% |
| Computer Science | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 5% |
| Sports and Recreations | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 18 | 45% |
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 30 May 2022.
All research outputs
#15,158,618
of 24,508,104 outputs
Outputs from BMC Public Health
#10,934
of 16,194 outputs
Outputs of similar age
#243,831
of 461,474 outputs
Outputs of similar age from BMC Public Health
#195
of 301 outputs
Altmetric has tracked 24,508,104 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 16,194 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one is in the 30th percentile – i.e., 30% 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 461,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 301 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.