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 |
NeuroKit2: A Python toolbox for neurophysiological signal processing
|
|---|---|
| Published in |
Behavior Research Methods, February 2021
|
| DOI | 10.3758/s13428-020-01516-y |
| Pubmed ID | |
| Authors |
Dominique Makowski, Tam Pham, Zen J. Lau, Jan C. Brammer, François Lespinasse, Hung Pham, Christopher Schölzel, S. H. Annabel Chen |
X Demographics
The data shown below were collected from the profiles of 11 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 | 27% |
| United Kingdom | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 91% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 337 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 38 | 11% |
| Student > Ph. D. Student | 36 | 11% |
| Researcher | 34 | 10% |
| Student > Bachelor | 34 | 10% |
| Student > Doctoral Student | 16 | 5% |
| Other | 39 | 12% |
| Unknown | 140 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 59 | 18% |
| Computer Science | 35 | 10% |
| Medicine and Dentistry | 19 | 6% |
| Neuroscience | 16 | 5% |
| Unspecified | 11 | 3% |
| Other | 44 | 13% |
| Unknown | 153 | 45% |
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 17 March 2023.
All research outputs
#3,707,091
of 25,387,668 outputs
Outputs from Behavior Research Methods
#455
of 2,526 outputs
Outputs of similar age
#101,303
of 527,330 outputs
Outputs of similar age from Behavior Research Methods
#6
of 28 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,526 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. 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 527,330 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 80% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.