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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adaptive filtering of physiological noises in fNIRS data
|
|---|---|
| Published in |
BioMedical Engineering OnLine, December 2018
|
| DOI | 10.1186/s12938-018-0613-2 |
| Pubmed ID | |
| Authors |
Hoang-Dung Nguyen, So-Hyeon Yoo, M. Raheel Bhutta, Keum-Shik Hong |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 22% |
| Student > Master | 15 | 21% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Researcher | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 15 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 28 | 39% |
| Neuroscience | 8 | 11% |
| Psychology | 5 | 7% |
| Medicine and Dentistry | 4 | 6% |
| Computer Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 19 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 August 2023.
All research outputs
#6,439,412
of 23,271,751 outputs
Outputs from BioMedical Engineering OnLine
#166
of 833 outputs
Outputs of similar age
#131,527
of 438,268 outputs
Outputs of similar age from BioMedical Engineering OnLine
#7
of 22 outputs
Altmetric has tracked 23,271,751 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 833 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 80% of its peers.
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 438,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.