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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The PREP pipeline: standardized preprocessing for large-scale EEG analysis
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, June 2015
|
| DOI | 10.3389/fninf.2015.00016 |
| Pubmed ID | |
| Authors |
Nima Bigdely-Shamlo, Tim Mullen, Christian Kothe, Kyung-Min Su, Kay A. Robbins |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 18% |
| Netherlands | 1 | 6% |
| Germany | 1 | 6% |
| Belgium | 1 | 6% |
| Portugal | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 3 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | <1% |
| France | 3 | <1% |
| Germany | 2 | <1% |
| India | 2 | <1% |
| Colombia | 2 | <1% |
| Australia | 2 | <1% |
| Ireland | 1 | <1% |
| Switzerland | 1 | <1% |
| Austria | 1 | <1% |
| Other | 10 | <1% |
| Unknown | 1088 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 250 | 22% |
| Student > Master | 184 | 16% |
| Researcher | 165 | 15% |
| Student > Bachelor | 93 | 8% |
| Student > Doctoral Student | 64 | 6% |
| Other | 123 | 11% |
| Unknown | 238 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 236 | 21% |
| Psychology | 172 | 15% |
| Engineering | 167 | 15% |
| Computer Science | 72 | 6% |
| Agricultural and Biological Sciences | 47 | 4% |
| Other | 112 | 10% |
| Unknown | 311 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 May 2021.
All research outputs
#3,638,768
of 25,837,817 outputs
Outputs from Frontiers in Neuroinformatics
#167
of 849 outputs
Outputs of similar age
#43,749
of 279,828 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#3
of 7 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 849 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 279,828 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 84% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.