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Development and evaluation of a rapid and sensitive RPA assay for specific detection of Vibrio parahaemolyticus in seafood

Overview of attention for article published in BMC Microbiology, August 2019
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Mentioned by

twitter
1 tweeter

Citations

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1 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Development and evaluation of a rapid and sensitive RPA assay for specific detection of Vibrio parahaemolyticus in seafood
Published in
BMC Microbiology, August 2019
DOI 10.1186/s12866-019-1562-z
Authors

Yunyun Geng, Ke Tan, Libing Liu, Xiao Xia Sun, Baohua Zhao, Jianchang Wang

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

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 40%
Student > Bachelor 1 10%
Professor > Associate Professor 1 10%
Researcher 1 10%
Student > Ph. D. Student 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 40%
Biochemistry, Genetics and Molecular Biology 2 20%
Economics, Econometrics and Finance 1 10%
Unknown 3 30%

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 14 August 2019.
All research outputs
#12,611,529
of 14,269,298 outputs
Outputs from BMC Microbiology
#1,745
of 2,144 outputs
Outputs of similar age
#212,249
of 254,645 outputs
Outputs of similar age from BMC Microbiology
#1
of 1 outputs
Altmetric has tracked 14,269,298 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,144 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 254,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% 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