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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Strength of Alpha–Beta Oscillatory Coupling Predicts Motor Timing Precision
|
|---|---|
| Published in |
Journal of Neuroscience, February 2019
|
| DOI | 10.1523/jneurosci.2473-18.2018 |
| Pubmed ID | |
| Authors |
Laetitia Grabot, Tadeusz W. Kononowicz, Tom Dupré la Tour, Alexandre Gramfort, Valérie Doyère, Virginie van Wassenhove |
X Demographics
The data shown below were collected from the profiles of 45 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 States | 9 | 20% |
| United Kingdom | 6 | 13% |
| Switzerland | 2 | 4% |
| Germany | 2 | 4% |
| France | 2 | 4% |
| Japan | 2 | 4% |
| Italy | 1 | 2% |
| Australia | 1 | 2% |
| New Zealand | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 17 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 32 | 71% |
| Scientists | 12 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 89 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 18% |
| Student > Master | 15 | 17% |
| Researcher | 13 | 15% |
| Student > Doctoral Student | 5 | 6% |
| Student > Bachelor | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 26 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 29 | 33% |
| Psychology | 9 | 10% |
| Agricultural and Biological Sciences | 4 | 4% |
| Engineering | 4 | 4% |
| Computer Science | 2 | 2% |
| Other | 2 | 2% |
| Unknown | 39 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 15 September 2019.
All research outputs
#1,327,540
of 24,657,405 outputs
Outputs from Journal of Neuroscience
#2,088
of 23,844 outputs
Outputs of similar age
#31,134
of 358,224 outputs
Outputs of similar age from Journal of Neuroscience
#48
of 255 outputs
Altmetric has tracked 24,657,405 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 23,844 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 358,224 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 91% of its contemporaries.
We're also able to compare this research output to 255 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.