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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Venezuela, Bolivarian Republic of | 1 | 20% |
| Australia | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Scientists | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 24% |
| Researcher | 5 | 15% |
| Other | 1 | 3% |
| Student > Doctoral Student | 1 | 3% |
| Professor | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 13 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 44% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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
#6,883,767
of 24,051,764 outputs
Outputs from BMC Infectious Diseases
#2,195
of 8,044 outputs
Outputs of similar age
#132,446
of 447,329 outputs
Outputs of similar age from BMC Infectious Diseases
#47
of 157 outputs
Altmetric has tracked 24,051,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,044 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 71% 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 447,329 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 69% of its contemporaries.
We're also able to compare this research output to 157 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 70% of its contemporaries.