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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Perceptual Grouping of Closed Contours Is Disrupted by the Interpretation of the Scene Layout
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, September 2017
|
| DOI | 10.3389/fnbeh.2017.00164 |
| Pubmed ID | |
| Authors |
Junjun Zhang, Chaoyang Wan, Zhenlan Jin, Ling Li |
| Abstract |
Closure is one of the grouping principles in perceptual organization. Studies have shown that closure can be affected by several factors, specifically by low-level image features. However, the effects of high-level non-image factors on grouping by closure are unknown. In two experiments we investigated how closure is affected when depth information is introduced to the 2D closed contours, whilst the other 2D features remain intact. The first experiment showed that the grouping of closed contours was disrupted by the manipulation in 3D layout. The second experiment showed that thus disruption resulted in the impairment of searching efficiency. These findings suggest that closure is not only determined by the image features, but also affected by the interpretation of the contextual scene layout. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 23% |
| Student > Bachelor | 2 | 15% |
| Lecturer | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 3 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 54% |
| Computer Science | 1 | 8% |
| Medicine and Dentistry | 1 | 8% |
| Neuroscience | 1 | 8% |
| Engineering | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 2 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 13 September 2017.
All research outputs
#17,911,821
of 22,999,744 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,429
of 3,197 outputs
Outputs of similar age
#226,648
of 316,054 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#59
of 66 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,197 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 316,054 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.