↓ Skip to main content

Clusters of Human Infection and Human-to-Human Transmission of Avian Influenza A(H7N9) Virus, 2013–2017

Overview of attention for article published in Emerging Infectious Diseases, February 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
29 tweeters
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
19 Mendeley
Title
Clusters of Human Infection and Human-to-Human Transmission of Avian Influenza A(H7N9) Virus, 2013–2017
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.

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 42%
Student > Master 4 21%
Student > Bachelor 3 16%
Unknown 4 21%
Readers by discipline Count As %
Immunology and Microbiology 4 21%
Biochemistry, Genetics and Molecular Biology 2 11%
Medicine and Dentistry 2 11%
Agricultural and Biological Sciences 2 11%
Mathematics 1 5%
Other 3 16%
Unknown 5 26%

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 29 January 2018.
All research outputs
#869,697
of 16,037,364 outputs
Outputs from Emerging Infectious Diseases
#1,048
of 7,638 outputs
Outputs of similar age
#32,873
of 413,214 outputs
Outputs of similar age from Emerging Infectious Diseases
#30
of 158 outputs
Altmetric has tracked 16,037,364 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 7,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. 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 413,214 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 92% 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 done well, scoring higher than 81% of its contemporaries.