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Capacitive immunosensor for COVID-19 diagnosis

Overview of attention for article published in Microelectronic Engineering, November 2022
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Mentioned by

twitter
2 X users

Citations

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4 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Capacitive immunosensor for COVID-19 diagnosis
Published in
Microelectronic Engineering, November 2022
DOI 10.1016/j.mee.2022.111912
Pubmed ID
Authors

Isabella Sampaio, Nayla Naomi Kusimoto Takeuti, Beatriz Gusson, Thales Rafael Machado, Valtencir Zucolotto

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

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 15%
Student > Doctoral Student 2 10%
Unspecified 1 5%
Student > Bachelor 1 5%
Librarian 1 5%
Other 2 10%
Unknown 10 50%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 5%
Chemical Engineering 1 5%
Unspecified 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 4 20%
Unknown 11 55%
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 21 November 2022.
All research outputs
#19,961,193
of 25,392,582 outputs
Outputs from Microelectronic Engineering
#1,900
of 2,003 outputs
Outputs of similar age
#306,236
of 440,086 outputs
Outputs of similar age from Microelectronic Engineering
#2
of 2 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 4th percentile – i.e., 4% 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 440,086 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.