| Title |
Object-based attention: A tutorial review
|
|---|---|
| Published in |
Attention, Perception, & Psychophysics, June 2012
|
| DOI | 10.3758/s13414-012-0322-z |
| Pubmed ID | |
| Authors |
Zhe Chen |
| Abstract |
This tutorial provides a selective review of research on object-based deployment of attention. It focuses primarily on behavioral studies with human observers. The tutorial is divided into five sections. It starts with an introduction to object-based attention and a description of the three commonly used experimental paradigms in object-based attention research. These are followed by a review of a variety of manifestations of object effects and the factors that influence object segmentation. The final two sections are devoted to two key issues in object-based research: the mechanisms that give rise to the object effects and the role of space in object-based selection. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| India | 1 | 14% |
| Norway | 1 | 14% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 71% |
| Members of the public | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 2% |
| Canada | 4 | 1% |
| Germany | 3 | <1% |
| United Kingdom | 3 | <1% |
| France | 3 | <1% |
| Italy | 1 | <1% |
| Israel | 1 | <1% |
| Ireland | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 304 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 77 | 23% |
| Researcher | 58 | 18% |
| Student > Master | 33 | 10% |
| Student > Bachelor | 27 | 8% |
| Student > Doctoral Student | 23 | 7% |
| Other | 57 | 17% |
| Unknown | 55 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 164 | 50% |
| Neuroscience | 41 | 12% |
| Agricultural and Biological Sciences | 14 | 4% |
| Computer Science | 8 | 2% |
| Engineering | 7 | 2% |
| Other | 31 | 9% |
| Unknown | 65 | 20% |
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 11 April 2023.
All research outputs
#3,589,941
of 25,389,116 outputs
Outputs from Attention, Perception, & Psychophysics
#159
of 2,182 outputs
Outputs of similar age
#23,136
of 177,446 outputs
Outputs of similar age from Attention, Perception, & Psychophysics
#3
of 45 outputs
Altmetric has tracked 25,389,116 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 2,182 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 92% 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 177,446 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 87% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.