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An Update on Aptamer-Based Multiplex System Approaches for the Detection of Common Foodborne Pathogens

Overview of attention for article published in Food Analytical Methods, January 2017
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1 X user

Citations

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50 Mendeley
Title
An Update on Aptamer-Based Multiplex System Approaches for the Detection of Common Foodborne Pathogens
Published in
Food Analytical Methods, January 2017
DOI 10.1007/s12161-017-0814-5
Authors

Omar Mukama, Jean Paul Sinumvayo, Muhammad Shamoon, Muhammad Shoaib, Henriette Mushimiyimana, Waseem Safdar, Leo Bemena, Peter Rwibasira, Samson Mugisha, Zhouping Wang

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

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 16%
Student > Master 7 14%
Student > Bachelor 4 8%
Other 4 8%
Lecturer 3 6%
Other 8 16%
Unknown 16 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 22%
Agricultural and Biological Sciences 7 14%
Chemistry 3 6%
Immunology and Microbiology 3 6%
Engineering 2 4%
Other 4 8%
Unknown 20 40%
Attention Score in Context

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 17 June 2017.
All research outputs
#20,428,633
of 22,981,247 outputs
Outputs from Food Analytical Methods
#302
of 581 outputs
Outputs of similar age
#355,734
of 419,851 outputs
Outputs of similar age from Food Analytical Methods
#8
of 10 outputs
Altmetric has tracked 22,981,247 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 581 research outputs from this source. They receive a mean Attention Score of 1.9. 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 419,851 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.