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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A network-based model to explore the role of testing in the epidemiological control of the COVID-19 pandemic
|
|---|---|
| Published in |
BMC Infectious Diseases, January 2021
|
| DOI | 10.1186/s12879-020-05750-9 |
| Pubmed ID | |
| Authors |
Yapeng Cui, Shunjiang Ni, Shifei Shen |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Argentina | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 17% |
| Student > Ph. D. Student | 8 | 11% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 24 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 14% |
| Engineering | 6 | 8% |
| Nursing and Health Professions | 3 | 4% |
| Agricultural and Biological Sciences | 3 | 4% |
| Veterinary Science and Veterinary Medicine | 2 | 3% |
| Other | 18 | 25% |
| Unknown | 29 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 January 2022.
All research outputs
#4,499,159
of 26,017,215 outputs
Outputs from BMC Infectious Diseases
#1,529
of 8,688 outputs
Outputs of similar age
#115,115
of 533,688 outputs
Outputs of similar age from BMC Infectious Diseases
#34
of 177 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 81% 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 533,688 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 77% of its contemporaries.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.