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Fast discrimination of bacteria using a filter paper–based SERS platform and PLS-DA with uncertainty estimation

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2018
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Mentioned by

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1 X user

Citations

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45 Dimensions

Readers on

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50 Mendeley
Title
Fast discrimination of bacteria using a filter paper–based SERS platform and PLS-DA with uncertainty estimation
Published in
Analytical & Bioanalytical Chemistry, November 2018
DOI 10.1007/s00216-018-1485-9
Pubmed ID
Authors

Javier E. L. Villa, Nataly Ruiz Quiñones, Fabiana Fantinatti-Garboggini, Ronei J. Poppi

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 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 %
Student > Ph. D. Student 12 24%
Researcher 6 12%
Student > Master 6 12%
Student > Bachelor 3 6%
Student > Doctoral Student 2 4%
Other 7 14%
Unknown 14 28%
Readers by discipline Count As %
Chemistry 12 24%
Agricultural and Biological Sciences 4 8%
Chemical Engineering 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Engineering 2 4%
Other 7 14%
Unknown 21 42%
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 25 January 2019.
All research outputs
#22,767,715
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#7,543
of 9,619 outputs
Outputs of similar age
#386,891
of 446,281 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#90
of 132 outputs
Altmetric has tracked 25,385,509 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 9,619 research outputs from this source. They receive a mean Attention Score of 3.1. 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 446,281 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 132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.