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Mendeley readers
Attention Score in Context
| Title |
Levelt’s laws do not predict perception when luminance- and contrast-modulated stimuli compete during binocular rivalry
|
|---|---|
| Published in |
Scientific Reports, September 2018
|
| DOI | 10.1038/s41598-018-32703-9 |
| Pubmed ID | |
| Authors |
Jan Skerswetat, Monika A. Formankiewicz, Sarah J. Waugh |
| Abstract |
Incompatible patterns viewed by each of the two eyes can provoke binocular rivalry, a competition of perception. Levelt's first law predicts that a highly visible stimulus will predominate over a less visible stimulus during binocular rivalry. In a behavioural study, we made a counterintuitive observation: high visibility patterns do not always predominate over low visibility patterns. Our results show that none of Levelt's binocular rivalry laws hold when luminance-modulated (LM) patterns compete with contrast-modulated (CM) patterns. We discuss visual saliency, asymmetric feedback, and a combination of both as potential mechanisms to explain the CM versus LM findings. Competing orthogonal LM stimuli do follow Levelt's laws, whereas only the first two laws hold for competing CM stimuli. The current results provide strong psychophysical evidence for the existence of separate processing stages for LM and CM stimuli. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 9% |
| Student > Ph. D. Student | 2 | 6% |
| Student > Postgraduate | 1 | 3% |
| Unknown | 27 | 82% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 28 | 85% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 21 October 2019.
All research outputs
#7,518,671
of 23,105,443 outputs
Outputs from Scientific Reports
#51,100
of 124,884 outputs
Outputs of similar age
#133,178
of 341,556 outputs
Outputs of similar age from Scientific Reports
#1,519
of 3,628 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 124,884 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has gotten more attention than average, scoring higher than 58% 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 341,556 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 3,628 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 57% of its contemporaries.