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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epidemiological features of COVID-19 patients with prolonged incubation period and its implications for controlling the epidemics in China
|
|---|---|
| Published in |
BMC Public Health, December 2021
|
| DOI | 10.1186/s12889-021-12337-9 |
| Pubmed ID | |
| Authors |
Zhi-Jie Zhang, Tian-Le Che, Tao Wang, Han Zhao, Jie Hong, Qing Su, Hai-Yang Zhang, Shi-Xia Zhou, Ai-Ying Teng, Yuan-Yuan Zhang, Yang Yang, Li-Qun Fang, Wei Liu |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Spain | 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 18% |
| Professor | 1 | 9% |
| Unspecified | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 9% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Mathematics | 1 | 9% |
| Psychology | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 07 December 2022.
All research outputs
#1,812,876
of 23,947,581 outputs
Outputs from BMC Public Health
#2,016
of 15,603 outputs
Outputs of similar age
#44,569
of 518,695 outputs
Outputs of similar age from BMC Public Health
#44
of 379 outputs
Altmetric has tracked 23,947,581 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has done well, scoring higher than 86% 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 518,695 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 91% of its contemporaries.
We're also able to compare this research output to 379 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.