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Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006–2013

Overview of attention for article published in BMC Infectious Diseases, January 2018
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Title
Landscape and rodent community composition are associated with risk of hemorrhagic fever with renal syndrome in two cities in China, 2006–2013
Published in
BMC Infectious Diseases, January 2018
DOI 10.1186/s12879-017-2827-5
Pubmed ID
Authors

Hong Xiao, Xin Tong, Ru Huang, Lidong Gao, Shixiong Hu, Yapin Li, Hongwei Gao, Pai Zheng, Huisuo Yang, Zheng Y. X. Huang, Hua Tan, Huaiyu Tian

Abstract

Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantaviruses. Landscape can influence the risk of hantavirus infection for humans, mainly through its effect on rodent community composition and distribution. It is important to understand how landscapes influence population dynamics for different rodent species and the subsequent effect on HFRS risk. To determine how rodent community composition influenced human hantavirus infection, we monitored rodent communities in the prefecture-level cities of Loudi and Shaoyang, China, from 2006 to 2013. Land use data were extracted from satellite images and rodent community diversity was analyzed in 45 trapping sites, in different environments. Potential contact matrices, determining how rodent community composition influence HFRS infection among different land use types, were estimated based on rodent community composition and environment type for geo-located HFRS cases. Apodemus agrarius and Rattus norvegicus were the predominant species in Loudi and Shaoyang, respectively. The major risk of HFRS infection was concentrated in areas with cultivated land and was associated with A. agrarius, R. norvegicus, and Rattus flavipectus. In urban areas in Shaoyang, Mus musculus was related to risk of hantavirus infection. Landscape features and rodent community dynamics may affect the risk of human hantavirus infection. Results of this study may be useful for the development of HFRS prevention initiatives that are customized for regions with different geographical environments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Researcher 6 14%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Student > Ph. D. Student 3 7%
Other 7 17%
Unknown 13 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 17%
Medicine and Dentistry 5 12%
Biochemistry, Genetics and Molecular Biology 4 10%
Nursing and Health Professions 3 7%
Environmental Science 3 7%
Other 4 10%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 April 2018.
All research outputs
#14,964,325
of 23,016,919 outputs
Outputs from BMC Infectious Diseases
#4,141
of 7,723 outputs
Outputs of similar age
#256,712
of 443,072 outputs
Outputs of similar age from BMC Infectious Diseases
#83
of 162 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 41st percentile – i.e., 41% 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 443,072 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.