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Ecology and geography of hemorrhagic fever with renal syndrome in Changsha, China

Overview of attention for article published in BMC Infectious Diseases, July 2013
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Title
Ecology and geography of hemorrhagic fever with renal syndrome in Changsha, China
Published in
BMC Infectious Diseases, July 2013
DOI 10.1186/1471-2334-13-305
Pubmed ID
Authors

Hong Xiao, Xiaoling Lin, Lidong Gao, Cunrui Huang, Huaiyu Tian, Na Li, Jianxin Qin, Peijuan Zhu, Biyun Chen, Xixing Zhang, Jian Zhao

Abstract

Hemorrhagic fever with renal syndrome (HFRS) is an important public health problem in mainland China. HFRS is particularly endemic in Changsha, the capital city of Hunan Province, with one of the highest incidences in China. The occurrence of HFRS is influenced by environmental factors. However, few studies have examined the relationship between environmental variation (such as land use changes and climate variations), rodents and HFRS occurrence. The purpose of this study is to predict the distribution of HFRS and identify the risk factors and relationship between HFRS occurrence and rodent hosts, combining ecological modeling with the Markov chain Monte Carlo approach.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Researcher 9 20%
Student > Master 6 13%
Professor 3 7%
Other 1 2%
Other 2 4%
Unknown 11 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 20%
Environmental Science 6 13%
Medicine and Dentistry 6 13%
Engineering 2 4%
Immunology and Microbiology 2 4%
Other 7 16%
Unknown 13 29%
Attention Score in Context

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 03 July 2013.
All research outputs
#20,195,877
of 22,713,403 outputs
Outputs from BMC Infectious Diseases
#6,438
of 7,657 outputs
Outputs of similar age
#170,431
of 194,345 outputs
Outputs of similar age from BMC Infectious Diseases
#112
of 151 outputs
Altmetric has tracked 22,713,403 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 7,657 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. 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 194,345 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 151 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.