| Title |
Indirect Virus Transmission in Cluster of COVID-19 Cases, Wenzhou, China, 2020 - Volume 26, Number 6—June 2020 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, June 2020
|
| DOI | 10.3201/eid2606.200412 |
| Pubmed ID | |
| Authors |
Jing Cai, Wenjie Sun, Jianping Huang, Michelle Gamber, Jing Wu, Guiqing He |
X Demographics
The data shown below were collected from the profiles of 438 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 | 78 | 18% |
| United Kingdom | 76 | 17% |
| Australia | 9 | 2% |
| Saudi Arabia | 8 | 2% |
| Spain | 7 | 2% |
| Canada | 7 | 2% |
| France | 7 | 2% |
| Germany | 4 | <1% |
| Pakistan | 4 | <1% |
| Other | 44 | 10% |
| Unknown | 194 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 367 | 84% |
| Scientists | 32 | 7% |
| Practitioners (doctors, other healthcare professionals) | 25 | 6% |
| Science communicators (journalists, bloggers, editors) | 14 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 823 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 823 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 109 | 13% |
| Student > Master | 98 | 12% |
| Student > Ph. D. Student | 73 | 9% |
| Student > Bachelor | 67 | 8% |
| Other | 51 | 6% |
| Other | 188 | 23% |
| Unknown | 237 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 165 | 20% |
| Nursing and Health Professions | 53 | 6% |
| Biochemistry, Genetics and Molecular Biology | 43 | 5% |
| Engineering | 37 | 4% |
| Immunology and Microbiology | 37 | 4% |
| Other | 200 | 24% |
| Unknown | 288 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 907. 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 17 June 2023.
All research outputs
#19,600
of 25,914,360 outputs
Outputs from Emerging Infectious Diseases
#73
of 9,826 outputs
Outputs of similar age
#946
of 436,088 outputs
Outputs of similar age from Emerging Infectious Diseases
#21
of 224 outputs
Altmetric has tracked 25,914,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,826 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 46.3. This one has done particularly well, scoring higher than 99% 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 436,088 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 99% of its contemporaries.
We're also able to compare this research output to 224 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.