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Excess pneumonia and influenza mortality attributable to seasonal influenza in subtropical Shanghai, China

Overview of attention for article published in BMC Infectious Diseases, December 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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5 tweeters

Citations

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11 Dimensions

Readers on

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29 Mendeley
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Title
Excess pneumonia and influenza mortality attributable to seasonal influenza in subtropical Shanghai, China
Published in
BMC Infectious Diseases, December 2017
DOI 10.1186/s12879-017-2863-1
Pubmed ID
Authors

Xinchun Yu, Chunfang Wang, Tao Chen, Wenyi Zhang, Huiting Yu, Yuelong Shu, Wenbiao Hu, Xiling Wang

Abstract

Disease burden attributable to influenza is substantial in subtropical regions. Our study aims to estimate excess pneumonia and influenza (P&I) mortality associated with influenza by subtypes/lineages in Shanghai, China, 2010-2015. Quasi-Poisson regression models were fitted to weekly numbers of deaths from causes coded as P&I for Shanghai general and registered population. Three proxies for influenza activity were respectively used as an explanatory variable. Long-term trend, seasonal trend and absolute humidity were adjusted for as confounding factors. The outcome measurements of excess P&I mortality associated with influenza subtypes/lineages were derived by subtracting the baseline mortality from fitted mortality. Excess P&I mortality associated with influenza were 0.22, 0.30, and 0.23 per 100,000 population for three different proxies in Shanghai general population, lower than those in registered population (0.34, 0.48, and 0.36 per 100,000 population). Influenza B (Victoria) lineage did not contribute to excess P&I mortality (P = 0.206) while influenza B (Yamagata) lineage did (P = 0.044). Influenza-associated P&I mortality was high in the elderly population. Seasonal influenza A virus had a higher P&I mortality than influenza B virus, while B (Yamagata) lineage is the dominant lineage attributable to P&I mortality.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 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 %
Student > Bachelor 8 28%
Researcher 4 14%
Student > Ph. D. Student 2 7%
Professor 1 3%
Other 1 3%
Other 2 7%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 14 48%
Biochemistry, Genetics and Molecular Biology 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Social Sciences 1 3%
Veterinary Science and Veterinary Medicine 1 3%
Other 0 0%
Unknown 10 34%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 December 2020.
All research outputs
#5,590,233
of 20,867,471 outputs
Outputs from BMC Infectious Diseases
#1,662
of 7,163 outputs
Outputs of similar age
#129,617
of 440,470 outputs
Outputs of similar age from BMC Infectious Diseases
#185
of 672 outputs
Altmetric has tracked 20,867,471 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,163 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one has done well, scoring higher than 76% 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 440,470 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 70% of its contemporaries.
We're also able to compare this research output to 672 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 72% of its contemporaries.