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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, January 2019
|
| DOI | 10.3389/fnhum.2018.00505 |
| Pubmed ID | |
| Authors |
Paola Pinti, Felix Scholkmann, Antonia Hamilton, Paul Burgess, Ilias Tachtsidis |
X Demographics
The data shown below were collected from the profiles of 36 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 11 | 31% |
| United States | 4 | 11% |
| Australia | 2 | 6% |
| Netherlands | 2 | 6% |
| Poland | 1 | 3% |
| Switzerland | 1 | 3% |
| Ireland | 1 | 3% |
| Germany | 1 | 3% |
| Spain | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 50% |
| Members of the public | 17 | 47% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 390 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 390 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 21% |
| Student > Master | 54 | 14% |
| Student > Bachelor | 48 | 12% |
| Researcher | 34 | 9% |
| Student > Doctoral Student | 23 | 6% |
| Other | 47 | 12% |
| Unknown | 104 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 68 | 17% |
| Neuroscience | 67 | 17% |
| Psychology | 47 | 12% |
| Medicine and Dentistry | 16 | 4% |
| Computer Science | 15 | 4% |
| Other | 55 | 14% |
| Unknown | 122 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 23 May 2023.
All research outputs
#1,368,057
of 23,967,950 outputs
Outputs from Frontiers in Human Neuroscience
#643
of 7,375 outputs
Outputs of similar age
#33,464
of 442,551 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#10
of 126 outputs
Altmetric has tracked 23,967,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,375 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done particularly well, scoring higher than 91% 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 442,551 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 126 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.