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Characterizing the epidemiology, virology, and clinical features of influenza in China’s first severe acute respiratory infection sentinel surveillance system, February 2011 – October 2013

Overview of attention for article published in BMC Infectious Diseases, March 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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6 X users

Citations

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36 Dimensions

Readers on

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51 Mendeley
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Title
Characterizing the epidemiology, virology, and clinical features of influenza in China’s first severe acute respiratory infection sentinel surveillance system, February 2011 – October 2013
Published in
BMC Infectious Diseases, March 2015
DOI 10.1186/s12879-015-0884-1
Pubmed ID
Authors

Zhibin Peng, Luzhao Feng, Greene M Carolyn, Kaili Wang, Guozhong Zhu, Yequn Zhang, Jumei Hu, Yiwei Huang, Huiqiong Pan, Nongjian Guo, Chunyan Xing, Yanhui Chu, Zhaolong Cao, Deshan Yu, Linling Liu, Zeling Chen, Fang Zeng, Wen Xu, Xin Xiong, Xiuwei Cheng, Hua Guo, Wu Chen, Ling Li, Hui Jiang, Jiandong Zheng, Zhen Xu, Hongjie Yu

Abstract

After the 2009 influenza A(H1N1)pdm09 pandemic, China established its first severe acute respiratory infections (SARI) sentinel surveillance system. We analyzed data from SARI cases in 10 hospitals in 10 provinces in China from February 2011 to October 2013. Among 5,644 SARI cases, 330 (6%) were influenza-positive. Among these, 62% were influenza A and 38% were influenza B. Compared with influenza-negative cases, influenza-positive SARI cases had a higher median age (20.0 years vs.11.0, p = 0.003) and were more likely to have at least one underlying chronic medical condition (age adjusted percent: 28% vs. 25%, p < 0.001). The types/subtypes of dominant strains identified by SARI surveillance was almost always among dominant strains identified by the influenza like illness (ILI) surveillance system and influenza activity in both systems peaked at the same time. Data from China's first SARI sentinel surveillance system suggest that types/subtypes of circulating influenza strains and epidemic trends among SARI cases were similar to those among ILI cases.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 24%
Student > Master 6 12%
Student > Ph. D. Student 4 8%
Student > Bachelor 4 8%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 14 27%
Readers by discipline Count As %
Medicine and Dentistry 19 37%
Nursing and Health Professions 6 12%
Agricultural and Biological Sciences 4 8%
Immunology and Microbiology 3 6%
Business, Management and Accounting 1 2%
Other 3 6%
Unknown 15 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 May 2021.
All research outputs
#13,936,729
of 24,654,957 outputs
Outputs from BMC Infectious Diseases
#3,234
of 8,264 outputs
Outputs of similar age
#123,052
of 267,769 outputs
Outputs of similar age from BMC Infectious Diseases
#52
of 154 outputs
Altmetric has tracked 24,654,957 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,264 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 60% 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 267,769 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.