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X Demographics
Mendeley readers
Attention Score in Context
Title |
An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection
|
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Published in |
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, January 2024
|
DOI | 10.1109/tvlsi.2024.3356161 |
Pubmed ID | |
Authors |
Renas Ercan, Yunjia Xia, Yunyi Zhao, Rui Loureiro, Shufan Yang, Hubin Zhao |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 67% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 67% |
Unknown | 1 | 33% |
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 19 February 2024.
All research outputs
#22,938,588
of 25,576,801 outputs
Outputs from IEEE Transactions on Very Large Scale Integration (VLSI) Systems
#1,386
of 1,408 outputs
Outputs of similar age
#269,876
of 332,934 outputs
Outputs of similar age from IEEE Transactions on Very Large Scale Integration (VLSI) Systems
#1
of 1 outputs
Altmetric has tracked 25,576,801 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 1,408 research outputs from this source. They receive a mean Attention Score of 3.8. 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 332,934 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 1 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