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Highly Sensitive Enzymatic MWCNTs-Based Biosensors for Detection of Abiraterone in Human Serum

Overview of attention for article published in BioNanoScience, February 2017
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Mentioned by

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1 X user

Citations

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Readers on

mendeley
24 Mendeley
Title
Highly Sensitive Enzymatic MWCNTs-Based Biosensors for Detection of Abiraterone in Human Serum
Published in
BioNanoScience, February 2017
DOI 10.1007/s12668-017-0393-3
Authors

Nima Aliakbarinodehi, Giovanni De Micheli, Sandro Carrara

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

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Student > Doctoral Student 3 13%
Researcher 3 13%
Other 2 8%
Student > Master 2 8%
Other 3 13%
Unknown 7 29%
Readers by discipline Count As %
Chemistry 3 13%
Engineering 3 13%
Biochemistry, Genetics and Molecular Biology 2 8%
Materials Science 2 8%
Medicine and Dentistry 1 4%
Other 3 13%
Unknown 10 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 06 February 2017.
All research outputs
#18,530,362
of 22,952,268 outputs
Outputs from BioNanoScience
#77
of 118 outputs
Outputs of similar age
#310,705
of 420,372 outputs
Outputs of similar age from BioNanoScience
#2
of 4 outputs
Altmetric has tracked 22,952,268 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one is in the 17th percentile – i.e., 17% 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 420,372 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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.