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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ERPLAB: an open-source toolbox for the analysis of event-related potentials
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, April 2014
|
| DOI | 10.3389/fnhum.2014.00213 |
| Pubmed ID | |
| Authors |
Javier Lopez-Calderon, Steven J. Luck |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 18% |
| Spain | 2 | 12% |
| Switzerland | 1 | 6% |
| United States | 1 | 6% |
| Netherlands | 1 | 6% |
| Greece | 1 | 6% |
| France | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 6 | 35% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 1% |
| Germany | 5 | <1% |
| United Kingdom | 4 | <1% |
| Italy | 4 | <1% |
| Netherlands | 3 | <1% |
| Chile | 2 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Finland | 1 | <1% |
| Other | 9 | <1% |
| Unknown | 1107 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 274 | 24% |
| Researcher | 166 | 14% |
| Student > Master | 152 | 13% |
| Student > Bachelor | 106 | 9% |
| Student > Doctoral Student | 89 | 8% |
| Other | 161 | 14% |
| Unknown | 201 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 375 | 33% |
| Neuroscience | 178 | 15% |
| Engineering | 74 | 6% |
| Agricultural and Biological Sciences | 49 | 4% |
| Computer Science | 43 | 4% |
| Other | 155 | 13% |
| Unknown | 275 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 October 2020.
All research outputs
#2,911,366
of 26,017,215 outputs
Outputs from Frontiers in Human Neuroscience
#1,368
of 7,768 outputs
Outputs of similar age
#28,524
of 243,670 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#63
of 205 outputs
Altmetric has tracked 26,017,215 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 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 82% 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 243,670 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 88% of its contemporaries.
We're also able to compare this research output to 205 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 69% of its contemporaries.