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The relationship of malaria between Chinese side and Myanmar’s five special regions along China–Myanmar border: a linear regression analysis

Overview of attention for article published in Malaria Journal, July 2016
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
4 tweeters

Citations

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23 Dimensions

Readers on

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36 Mendeley
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Title
The relationship of malaria between Chinese side and Myanmar’s five special regions along China–Myanmar border: a linear regression analysis
Published in
Malaria Journal, July 2016
DOI 10.1186/s12936-016-1413-4
Pubmed ID
Authors

Jian-Wei Xu, Hui Liu

Abstract

Understanding malaria along the international border of two countries is important for malaria control and elimination; however, it is difficult to investigate a quantitative relationship between two countries' border areas due to a shortage of malaria surveillance data. A linear regression analysis was conducted to investigate the logarithmic annual parasite incidence (API), numbers of imported cases and local infections in 19 Chinese border counties, with logarithmic API and parasitic prevalence in Myanmar's five special regions. API in 19 Chinese counties was stronger correlated with parasite prevalence than with API in five special regions of Myanmar, correlation coefficient (R) 0.8322 (95 % CI 0.0636-0.9084) versus 0.9914 (95 % CI 0.9204-0.9914). Numbers of imported malaria cases and local malaria infections in 19 Chinese counties were also closer correlated with parasite prevalence than with API in five special regions of Myanmar. There is a strong correlation of malaria between China's side and Myanmar's side along the international border. Parasite prevalence is a better indicator of the true malaria situation in a setting without sound surveillance and reporting system. China should reconsider its definition of imported malaria which neglects imported malaria by mosquitoes and asymptomatic parasite carriers.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Bachelor 7 19%
Student > Master 6 17%
Lecturer > Senior Lecturer 2 6%
Lecturer 2 6%
Other 7 19%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Social Sciences 4 11%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Environmental Science 2 6%
Other 10 28%
Unknown 7 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 August 2016.
All research outputs
#3,427,300
of 8,276,988 outputs
Outputs from Malaria Journal
#1,437
of 2,921 outputs
Outputs of similar age
#96,647
of 259,056 outputs
Outputs of similar age from Malaria Journal
#63
of 140 outputs
Altmetric has tracked 8,276,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 58th percentile.
So far Altmetric has tracked 2,921 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 50% 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 259,056 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 62% of its contemporaries.
We're also able to compare this research output to 140 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 55% of its contemporaries.