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An adaptive acoustoelectric signal decoding algorithm based on Fourier fitting for brain function imaging

Overview of attention for article published in Frontiers in Physiology, December 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Title
An adaptive acoustoelectric signal decoding algorithm based on Fourier fitting for brain function imaging
Published in
Frontiers in Physiology, December 2022
DOI 10.3389/fphys.2022.1054103
Pubmed ID
Authors

Xizi Song, Tong Wang, Mengyue Su, Xinrui Chen, Xiuyun Liu, Dong Ming

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

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Neuroscience 1 20%
Medicine and Dentistry 1 20%
Unknown 3 60%
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 08 December 2022.
All research outputs
#20,699,786
of 23,299,593 outputs
Outputs from Frontiers in Physiology
#9,640
of 14,027 outputs
Outputs of similar age
#345,867
of 438,062 outputs
Outputs of similar age from Frontiers in Physiology
#342
of 567 outputs
Altmetric has tracked 23,299,593 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 14,027 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 438,062 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 567 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.