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Development of a sensitive novel diagnostic kit for the highly pathogenic avian influenza A (H5N1) virus

Overview of attention for article published in BMC Infectious Diseases, July 2014
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Mentioned by

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1 tweeter

Citations

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8 Dimensions

Readers on

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36 Mendeley
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Title
Development of a sensitive novel diagnostic kit for the highly pathogenic avian influenza A (H5N1) virus
Published in
BMC Infectious Diseases, July 2014
DOI 10.1186/1471-2334-14-362
Pubmed ID
Authors

Yasuko Tsunetsugu-Yokota, Kengo Nishimura, Shuhei Misawa, Mie Kobayashi-Ishihara, Hitoshi Takahashi, Ikuyo Takayama, Kazuo Ohnishi, Shigeyuki Itamura, Hang LK Nguyen, Mai TQ Le, Giang T Dang, Long T Nguyen, Masato Tashiro, Tsutomu Kageyama

Abstract

Sporadic emergence of the highly pathogenic avian influenza (HPAI) H5N1 virus infection in humans is a serious concern because of the potential for a pandemic. Conventional or quantitative RT-PCR is the standard laboratory test to detect viral influenza infections. However, this technology requires well-equipped laboratories and highly trained personnel. A rapid, sensitive, and specific alternative screening method is needed.

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 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 9 25%
Professor 6 17%
Student > Bachelor 5 14%
Student > Ph. D. Student 4 11%
Student > Master 4 11%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Medicine and Dentistry 9 25%
Agricultural and Biological Sciences 9 25%
Chemistry 3 8%
Immunology and Microbiology 2 6%
Veterinary Science and Veterinary Medicine 2 6%
Other 6 17%
Unknown 5 14%

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 2014.
All research outputs
#3,038,138
of 4,507,778 outputs
Outputs from BMC Infectious Diseases
#1,650
of 2,509 outputs
Outputs of similar age
#70,945
of 108,717 outputs
Outputs of similar age from BMC Infectious Diseases
#124
of 152 outputs
Altmetric has tracked 4,507,778 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,509 research outputs from this source. They receive a mean Attention Score of 2.7. This one is in the 22nd percentile – i.e., 22% 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 108,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.