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mSDF-DFT: An ultra-low energy discrete Fourier transform architecture for closed-loop neural sensing

Overview of attention for article published in Journal of Systems Architecture, June 2026
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Article details
Title
mSDF-DFT: An ultra-low energy discrete Fourier transform architecture for closed-loop neural sensing
Published in
Journal of Systems Architecture, June 2026
DOI 10.1016/j.sysarc.2026.103749
Authors

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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 22 February 2026.
All research outputs
#20,840,957
of 31,879,547 outputs
Outputs from Journal of Systems Architecture
#417
of 513 outputs
Outputs of similar age
#1,775
of 2,988 outputs
Outputs of similar age from Journal of Systems Architecture
#1
of 2 outputs
Altmetric has tracked 31,879,547 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 513 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 18th percentile – i.e., 18% 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 2,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% 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. This one has scored higher than all of them