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Attention Score in Context
| Title |
The Characteristics and Limits of Rapid Visual Categorization
|
|---|---|
| Published in |
Frontiers in Psychology, January 2011
|
| DOI | 10.3389/fpsyg.2011.00243 |
| Pubmed ID | |
| Authors |
Michèle Fabre-Thorpe |
| Abstract |
Visual categorization appears both effortless and virtually instantaneous. The study by Thorpe et al. (1996) was the first to estimate the processing time necessary to perform fast visual categorization of animals in briefly flashed (20 ms) natural photographs. They observed a large differential EEG activity between target and distracter correct trials that developed from 150 ms after stimulus onset, a value that was later shown to be even shorter in monkeys! With such strong processing time constraints, it was difficult to escape the conclusion that rapid visual categorization was relying on massively parallel, essentially feed-forward processing of visual information. Since 1996, we have conducted a large number of studies to determine the characteristics and limits of fast visual categorization. The present chapter will review some of the main results obtained. I will argue that rapid object categorizations in natural scenes can be done without focused attention and are most likely based on coarse and unconscious visual representations activated with the first available (magnocellular) visual information. Fast visual processing proved efficient for the categorization of large superordinate object or scene categories, but shows its limits when more detailed basic representations are required. The representations for basic objects (dogs, cars) or scenes (mountain or sea landscapes) need additional processing time to be activated. This finding is at odds with the widely accepted idea that such basic representations are at the entry level of the system. Interestingly, focused attention is still not required to perform these time consuming basic categorizations. Finally we will show that object and context processing can interact very early in an ascending wave of visual information processing. We will discuss how such data could result from our experience with a highly structured and predictable surrounding world that shaped neuronal visual selectivity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 242 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| United Kingdom | 3 | 1% |
| France | 3 | 1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Malaysia | 1 | <1% |
| Greece | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 223 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 67 | 28% |
| Researcher | 53 | 22% |
| Student > Master | 34 | 14% |
| Student > Bachelor | 15 | 6% |
| Professor > Associate Professor | 14 | 6% |
| Other | 37 | 15% |
| Unknown | 22 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 116 | 48% |
| Neuroscience | 31 | 13% |
| Agricultural and Biological Sciences | 21 | 9% |
| Computer Science | 9 | 4% |
| Medicine and Dentistry | 6 | 2% |
| Other | 18 | 7% |
| Unknown | 41 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 October 2021.
All research outputs
#4,314,600
of 24,571,708 outputs
Outputs from Frontiers in Psychology
#7,273
of 33,134 outputs
Outputs of similar age
#27,974
of 189,659 outputs
Outputs of similar age from Frontiers in Psychology
#91
of 237 outputs
Altmetric has tracked 24,571,708 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,134 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 78% 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 189,659 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 85% of its contemporaries.
We're also able to compare this research output to 237 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 62% of its contemporaries.