The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, April 2019
|
| DOI | 10.3389/fnhum.2019.00141 |
| Pubmed ID | |
| Authors |
Sarah Blum, Nadine S. J. Jacobsen, Martin G. Bleichner, Stefan Debener |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 17% |
| Ireland | 1 | 6% |
| United States | 1 | 6% |
| France | 1 | 6% |
| Unknown | 12 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 44% |
| Scientists | 8 | 44% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 162 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 20% |
| Student > Master | 24 | 15% |
| Researcher | 23 | 14% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 14 | 9% |
| Unknown | 47 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 29 | 18% |
| Neuroscience | 26 | 16% |
| Computer Science | 15 | 9% |
| Psychology | 15 | 9% |
| Linguistics | 5 | 3% |
| Other | 15 | 9% |
| Unknown | 57 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 26 July 2019.
All research outputs
#3,050,689
of 25,563,770 outputs
Outputs from Frontiers in Human Neuroscience
#1,422
of 7,729 outputs
Outputs of similar age
#63,026
of 363,801 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#12
of 93 outputs
Altmetric has tracked 25,563,770 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,729 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has done well, scoring higher than 81% 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 363,801 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.