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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Temporal perception in visual processing as a research tool
|
|---|---|
| Published in |
Frontiers in Psychology, April 2015
|
| DOI | 10.3389/fpsyg.2015.00521 |
| Pubmed ID | |
| Authors |
Bin Zhou, Ting Zhang, Lihua Mao |
| Abstract |
Accumulated evidence has shown that the subjective time in the sub-second range can be altered by different factors; some are related to stimulus features such as luminance contrast and spatial frequency, others are processes like perceptual grouping and contextual modulation. These findings indicate that temporal perception uses neural signals involved in non-temporal feature processes and that perceptual organization plays an important role in shaping the experience of elapsed time. We suggest that the temporal representation of objects can be treated as a feature of objects. This new concept implies that psychological time can serve as a tool to study the principles of neural codes in the perception of objects like "reaction time (RT)." Whereas "RT" usually reflects the state of transient signals crossing decision thresholds, "apparent time" in addition reveals the dynamics of sustained signals, thus providing complementary information of what has been obtained from "RT" studies. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Turkey | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 27 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 29% |
| Student > Bachelor | 6 | 19% |
| Researcher | 5 | 16% |
| Student > Master | 3 | 10% |
| Student > Postgraduate | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 2 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 45% |
| Neuroscience | 8 | 26% |
| Agricultural and Biological Sciences | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Computer Science | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 3 | 10% |
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 27 April 2015.
All research outputs
#20,269,439
of 22,800,560 outputs
Outputs from Frontiers in Psychology
#24,049
of 29,714 outputs
Outputs of similar age
#223,640
of 265,147 outputs
Outputs of similar age from Frontiers in Psychology
#434
of 485 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% 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 265,147 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 485 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.