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The development of a GeXP-based multiplex reverse transcription-PCR assay for simultaneous detection of sixteen human respiratory virus types/subtypes

Overview of attention for article published in BMC Infectious Diseases, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

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1 X user
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8 patents

Citations

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40 Dimensions

Readers on

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39 Mendeley
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Title
The development of a GeXP-based multiplex reverse transcription-PCR assay for simultaneous detection of sixteen human respiratory virus types/subtypes
Published in
BMC Infectious Diseases, August 2012
DOI 10.1186/1471-2334-12-189
Pubmed ID
Authors

Jin Li, Nai-Ying Mao, Chen Zhang, Meng-Jie Yang, Miao Wang, Wen-Bo Xu, Xue-Jun Ma

Abstract

Existing standard non-molecular diagnostic methods such as viral culture and immunofluorescent (DFA) are time-consuming, labor intensive or limited sensitivity. Several multiplex molecular assays are costly. Therefore, there is a need for the development of a rapid and sensitive diagnosis of respiratory viral pathogens.

X Demographics

X Demographics

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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 5%
United Kingdom 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 8 21%
Student > Bachelor 6 15%
Student > Master 5 13%
Student > Postgraduate 2 5%
Other 2 5%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 9 23%
Agricultural and Biological Sciences 6 15%
Biochemistry, Genetics and Molecular Biology 5 13%
Unspecified 2 5%
Nursing and Health Professions 2 5%
Other 6 15%
Unknown 9 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 January 2024.
All research outputs
#4,750,651
of 23,372,952 outputs
Outputs from BMC Infectious Diseases
#1,548
of 7,820 outputs
Outputs of similar age
#33,137
of 169,086 outputs
Outputs of similar age from BMC Infectious Diseases
#10
of 82 outputs
Altmetric has tracked 23,372,952 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,820 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 79% 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 169,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.