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Improved space breakdown method – A robust clustering technique for spike sorting

Overview of attention for article published in Frontiers in Computational Neuroscience, February 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Readers on

mendeley
4 Mendeley
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Title
Improved space breakdown method – A robust clustering technique for spike sorting
Published in
Frontiers in Computational Neuroscience, February 2023
DOI 10.3389/fncom.2023.1019637
Pubmed ID
Authors

Eugen-Richard Ardelean, Ana-Maria Ichim, Mihaela Dînşoreanu, Raul Cristian Mureşan

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Student > Ph. D. Student 1 25%
Unknown 2 50%
Readers by discipline Count As %
Unspecified 1 25%
Neuroscience 1 25%
Unknown 2 50%
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 03 March 2023.
All research outputs
#19,965,859
of 25,401,381 outputs
Outputs from Frontiers in Computational Neuroscience
#1,012
of 1,465 outputs
Outputs of similar age
#302,229
of 427,378 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#14
of 30 outputs
Altmetric has tracked 25,401,381 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 1,465 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 23rd percentile – i.e., 23% 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 427,378 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.