| Title |
Preliminary Epidemiology of Human Infections with Highly Pathogenic Avian Influenza A(H7N9) Virus, China, 2017 - Volume 23, Number 8—August 2017 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, August 2017
|
| DOI | 10.3201/eid2308.170640 |
| Pubmed ID | |
| Authors |
Lei Zhou, Yi Tan, Min Kang, Fuqiang Liu, Ruiqi Ren, Yali Wang, Tao Chen, Yiping Yang, Chao Li, Jie Wu, Hengjiao Zhang, Dan Li, Carolyn M. Greene, Suizan Zhou, A. Danielle Iuliano, Fiona Havers, Daxin Ni, Dayan Wang, Zijian Feng, Timothy M. Uyeki, Qun Li |
| Abstract |
We compared the characteristics of cases of highly pathogenic avian influenza (HPAI) and low pathogenic avian influenza (LPAI) A(H7N9) virus infections in China. HPAI A(H7N9) case-patients were more likely to have had exposure to sick and dead poultry in rural areas and were hospitalized earlier than were LPAI A(H7N9) case-patients. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 7 | 64% |
| Australia | 1 | 9% |
| Unknown | 3 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 2 | 18% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Master | 8 | 15% |
| Student > Bachelor | 6 | 12% |
| Student > Doctoral Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 9 | 17% |
| Biochemistry, Genetics and Molecular Biology | 8 | 15% |
| Veterinary Science and Veterinary Medicine | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 18 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 18 August 2017.
All research outputs
#1,571,388
of 25,382,440 outputs
Outputs from Emerging Infectious Diseases
#1,780
of 9,718 outputs
Outputs of similar age
#30,482
of 326,133 outputs
Outputs of similar age from Emerging Infectious Diseases
#24
of 119 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 93rd 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 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 326,133 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 119 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.