| Title |
Clusters of Human Infection and Human-to-Human Transmission of Avian Influenza A(H7N9) Virus, 2013–2017 - Volume 24, Number 2—February 2018 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, February 2018
|
| DOI | 10.3201/eid2402.171565 |
| Pubmed ID | |
| Authors |
Lei Zhou, Enfu Chen, Changjun Bao, Nijuan Xiang, Jiabing Wu, Shengen Wu, Jian Shi, Xianjun Wang, Yaxu Zheng, Yi Zhang, Ruiqi Ren, Carolyn M. Greene, Fiona Havers, A. Danielle Iuliano, Ying Song, Chao Li, Tao Chen, Yali Wang, Dan Li, Daxin Ni, Yanping Zhang, Zijian Feng, Timothy M. Uyeki, Qun Li |
| Abstract |
To detect changes in human-to-human transmission of influenza A(H7N9) virus, we analyzed characteristics of 40 clusters of case-patients during 5 epidemics in China in 2013-2017. Similarities in number and size of clusters and proportion of clusters with probable human-to-human transmission across all epidemics suggest no change in human-to-human transmission risk. |
X Demographics
The data shown below were collected from the profiles of 29 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 | 12 | 41% |
| Philippines | 1 | 3% |
| Gambia | 1 | 3% |
| Italy | 1 | 3% |
| Canada | 1 | 3% |
| Spain | 1 | 3% |
| Belgium | 1 | 3% |
| Ecuador | 1 | 3% |
| Germany | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 66% |
| Scientists | 4 | 14% |
| Practitioners (doctors, other healthcare professionals) | 4 | 14% |
| Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Bachelor | 5 | 17% |
| Student > Master | 4 | 14% |
| Unspecified | 1 | 3% |
| Student > Ph. D. Student | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 9 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 21% |
| Immunology and Microbiology | 4 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 9 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 26 October 2022.
All research outputs
#1,520,221
of 25,382,440 outputs
Outputs from Emerging Infectious Diseases
#1,730
of 9,718 outputs
Outputs of similar age
#33,016
of 344,026 outputs
Outputs of similar age from Emerging Infectious Diseases
#20
of 115 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,718 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done well, scoring higher than 82% 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 344,026 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 90% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.