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Attention Score in Context
| Title |
Color Image Norms in Mandarin Chinese
|
|---|---|
| Published in |
Frontiers in Psychology, October 2017
|
| DOI | 10.3389/fpsyg.2017.01880 |
| Pubmed ID | |
| Authors |
Dandan Zhou, Qi Chen |
| Abstract |
The present study comprises two parts, an object picture naming task and rating tasks, and reports naming latencies and norms for 435 color images in Mandarin Chinese. These norms include name agreement (%), H-value, concept agreement, familiarity, visual complexity, age of acquisition (AOA) based on adult ratings, object agreement, viewpoint agreement, word frequency, and word length. We examined correlations between the norms and explored the internal structure among these correlative variables by a factor analysis. Four factors were extracted, which accounted for 74.86% of the total variance. These data were analyzed to identify variables with significant contributions to naming latencies using multiple regression analysis, including norms of name agreement (%), familiarity, word frequency, concept agreement, AOA, and object agreement. These variables explained 54.70% of the total variance of naming latencies. This work presents a new set of photo stimuli and a large set of normalized variables. We expect that this study will provide useful materials for further researches. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 38% |
| Student > Doctoral Student | 2 | 13% |
| Student > Postgraduate | 2 | 13% |
| Researcher | 2 | 13% |
| Student > Master | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 50% |
| Linguistics | 3 | 19% |
| Computer Science | 1 | 6% |
| Unknown | 4 | 25% |
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 25 October 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Frontiers in Psychology
#22,476
of 30,246 outputs
Outputs of similar age
#251,106
of 327,865 outputs
Outputs of similar age from Frontiers in Psychology
#508
of 607 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,246 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 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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We're also able to compare this research output to 607 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.