| Title |
Feature integration within discrete time windows
|
|---|---|
| Published in |
Nature Communications, October 2019
|
| DOI | 10.1038/s41467-019-12919-7 |
| Pubmed ID | |
| Authors |
Leila Drissi-Daoudi, Adrien Doerig, Michael H. Herzog |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 5 | 19% |
| France | 2 | 8% |
| United States | 2 | 8% |
| Australia | 2 | 8% |
| United Kingdom | 2 | 8% |
| Spain | 1 | 4% |
| Canada | 1 | 4% |
| Peru | 1 | 4% |
| Austria | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 58% |
| Scientists | 11 | 42% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 22% |
| Researcher | 10 | 20% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Doctoral Student | 4 | 8% |
| Professor > Associate Professor | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 33% |
| Neuroscience | 10 | 20% |
| Engineering | 2 | 4% |
| Computer Science | 2 | 4% |
| Chemical Engineering | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 16 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 12 July 2023.
All research outputs
#1,872,146
of 24,690,130 outputs
Outputs from Nature Communications
#24,394
of 53,492 outputs
Outputs of similar age
#40,386
of 367,609 outputs
Outputs of similar age from Nature Communications
#713
of 1,474 outputs
Altmetric has tracked 24,690,130 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,492 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one has gotten more attention than average, scoring higher than 54% 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 367,609 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 89% of its contemporaries.
We're also able to compare this research output to 1,474 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 51% of its contemporaries.