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Potential risk factors associated with human encephalitis: application of canonical correlation analysis

Overview of attention for article published in BMC Medical Research Methodology, August 2011
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1 tweeter

Citations

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6 Dimensions

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33 Mendeley
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Title
Potential risk factors associated with human encephalitis: application of canonical correlation analysis
Published in
BMC Medical Research Methodology, August 2011
DOI 10.1186/1471-2288-11-120
Pubmed ID
Authors

Jemila S Hamid, Christopher Meaney, Natasha S Crowcroft, Julia Granerod, Joseph Beyene

Abstract

Infection of the CNS is considered to be the major cause of encephalitis and more than 100 different pathogens have been recognized as causative agents. Despite being identified worldwide as an important public health concern, studies on encephalitis are very few and often focus on particular types (with respect to causative agents) of encephalitis (e.g. West Nile, Japanese, etc.). Moreover, a number of other infectious and non-infectious conditions present with similar symptoms, and distinguishing encephalitis from other disguising conditions continues to a challenging task.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Sri Lanka 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Student > Master 5 15%
Student > Bachelor 5 15%
Researcher 3 9%
Student > Doctoral Student 2 6%
Other 6 18%
Unknown 5 15%
Readers by discipline Count As %
Medicine and Dentistry 10 30%
Agricultural and Biological Sciences 4 12%
Mathematics 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Other 6 18%
Unknown 7 21%

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 25 August 2011.
All research outputs
#12,707,560
of 16,003,512 outputs
Outputs from BMC Medical Research Methodology
#1,276
of 1,496 outputs
Outputs of similar age
#78,820
of 98,423 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 16,003,512 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,496 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 7th percentile – i.e., 7% 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 98,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them