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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessing the feasibility of sustaining SARS-CoV-2 local containment in China in the era of highly transmissible variants
|
|---|---|
| Published in |
BMC Medicine, November 2022
|
| DOI | 10.1186/s12916-022-02640-6 |
| Pubmed ID | |
| Authors |
Yan Wang, Kaiyuan Sun, Zhaomin Feng, Lan Yi, Yanpeng Wu, Hengcong Liu, Quanyi Wang, Marco Ajelli, Cécile Viboud, Hongjie Yu |
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 % |
|---|---|---|
| Italy | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 4 | 19% |
| Researcher | 2 | 10% |
| Student > Master | 2 | 10% |
| Unspecified | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Mathematics | 1 | 5% |
| Unspecified | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 11 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 22 December 2022.
All research outputs
#2,866,619
of 23,393,453 outputs
Outputs from BMC Medicine
#1,712
of 3,525 outputs
Outputs of similar age
#56,989
of 432,544 outputs
Outputs of similar age from BMC Medicine
#54
of 158 outputs
Altmetric has tracked 23,393,453 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has gotten more attention than average, scoring higher than 51% 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 432,544 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 86% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.