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Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach

Overview of attention for article published in Analytical & Bioanalytical Chemistry, June 2019
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
2 X users

Citations

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29 Dimensions

Readers on

mendeley
58 Mendeley
Title
Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach
Published in
Analytical & Bioanalytical Chemistry, June 2019
DOI 10.1007/s00216-019-01853-8
Pubmed ID
Authors

Hisham Abu-Ali, Alexei Nabok, Thomas J. Smith

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 16%
Researcher 8 14%
Student > Doctoral Student 4 7%
Student > Master 4 7%
Student > Bachelor 3 5%
Other 7 12%
Unknown 23 40%
Readers by discipline Count As %
Chemistry 11 19%
Biochemistry, Genetics and Molecular Biology 6 10%
Engineering 6 10%
Materials Science 4 7%
Environmental Science 3 5%
Other 5 9%
Unknown 23 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 December 2019.
All research outputs
#17,245,787
of 25,385,509 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,591
of 9,619 outputs
Outputs of similar age
#230,548
of 365,200 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#100
of 215 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% 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 41st percentile – i.e., 41% 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 365,200 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.