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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Development of holistic vs. featural processing in face recognition
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, October 2014
|
| DOI | 10.3389/fnhum.2014.00831 |
| Pubmed ID | |
| Authors |
Kazuyo Nakabayashi, Chang Hong Liu |
| Abstract |
According to a classic view developed by Carey and Diamond (1977), young children process faces in a piecemeal fashion before adult-like holistic processing starts to emerge at the age of around 10 years. This is known as the encoding switch hypothesis. Since then, a growing body of studies have challenged the theory. This article will provide a critical appraisal of this literature, followed by an analysis of some more recent developments. We will conclude, quite contrary to the classical view, that holistic processing is not only present in early child development, but could even precede the development of part-based processing. |
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 Kingdom | 2 | 67% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| Unknown | 49 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 25% |
| Researcher | 9 | 18% |
| Student > Bachelor | 8 | 16% |
| Student > Doctoral Student | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 8 | 16% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 59% |
| Neuroscience | 7 | 14% |
| Engineering | 2 | 4% |
| Computer Science | 2 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 November 2014.
All research outputs
#14,786,093
of 22,764,165 outputs
Outputs from Frontiers in Human Neuroscience
#4,909
of 7,139 outputs
Outputs of similar age
#143,229
of 259,226 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#170
of 237 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one is in the 27th percentile – i.e., 27% 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 259,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
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 is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.