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Mendeley readers
Attention Score in Context
Title |
Transmissibility and temporal changes of 2009 pH1N1 pandemic during summer and fall/winter waves
|
---|---|
Published in |
BMC Infectious Diseases, December 2011
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DOI | 10.1186/1471-2334-11-332 |
Pubmed ID | |
Authors |
Ying-Hen Hsieh, Kuang-Fu Cheng, Trong-Neng Wu, Tsai-Chung Li, Chiu-Ying Chen, Jin-Hua Chen, Mei-Hui Lin |
Abstract |
In order to compare the transmissibility of the 2009 pH1N1 pandemic during successive waves of infections in summer and fall/winter in the Northern Hemisphere, and to assess the temporal changes during the course of the outbreak in relation to the intervention measures implemented, we analyze the epidemiological patterns of the epidemic in Taiwan during July 2009-March 2010. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Unknown | 30 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 26% |
Researcher | 8 | 26% |
Student > Master | 4 | 13% |
Professor | 2 | 6% |
Lecturer > Senior Lecturer | 2 | 6% |
Other | 6 | 19% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 48% |
Mathematics | 3 | 10% |
Agricultural and Biological Sciences | 3 | 10% |
Immunology and Microbiology | 2 | 6% |
Nursing and Health Professions | 1 | 3% |
Other | 5 | 16% |
Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 December 2011.
All research outputs
#20,152,153
of 22,659,164 outputs
Outputs from BMC Infectious Diseases
#6,417
of 7,631 outputs
Outputs of similar age
#218,231
of 239,890 outputs
Outputs of similar age from BMC Infectious Diseases
#78
of 86 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,631 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 239,890 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.