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Mendeley readers
Attention Score in Context
| Title |
A Diffusion Model Analysis of Magnitude Comparison in Children with and without Dyscalculia: Care of Response and Ability Are Related to Both Mathematical Achievement and Stimuli
|
|---|---|
| Published in |
Frontiers in Psychology, January 2018
|
| DOI | 10.3389/fpsyg.2017.01615 |
| Pubmed ID | |
| Authors |
Carsten Szardenings, Jörg-Tobias Kuhn, Jochen Ranger, Heinz Holling |
| Abstract |
The respective roles of the approximate number system (ANS) and an access deficit (AD) in developmental dyscalculia (DD) are not well-known. Most studies rely on response times (RTs) or accuracy (error rates) separately. We analyzed the results of two samples of elementary school children in symbolic magnitude comparison (MC) and non-symbolic MC using a diffusion model. This approach uses the joint distribution of both RTs and accuracy in order to synthesize measures closer to ability and response caution or response conservatism. The latter can be understood in the context of the speed-accuracy tradeoff: It expresses how much a subject trades in speed for improved accuracy. We found significant effects of DD on both ability (negative) and response caution (positive) in MC tasks and a negative interaction of DD with symbolic task material on ability. These results support that DD subjects suffer from both an impaired ANS and an AD and in particular support that slower RTs of children with DD are indeed related to impaired processing of numerical information. An interaction effect of symbolic task material and DD (low mathematical ability) on response caution could not be refuted. However, in a sample more representative of the general population we found a negative association of mathematical ability and response caution in symbolic but not in non-symbolic task material. The observed differences in response behavior highlight the importance of accounting for response caution in the analysis of MC tasks. The results as a whole present a good example of the benefits of a diffusion model analysis. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 25% |
| Switzerland | 2 | 25% |
| Finland | 1 | 13% |
| Greece | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Student > Bachelor | 6 | 11% |
| Student > Postgraduate | 5 | 9% |
| Lecturer | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 17 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 36% |
| Neuroscience | 5 | 9% |
| Arts and Humanities | 3 | 6% |
| Social Sciences | 3 | 6% |
| Nursing and Health Professions | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 18 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 15 July 2018.
All research outputs
#7,027,172
of 22,999,744 outputs
Outputs from Frontiers in Psychology
#10,181
of 30,230 outputs
Outputs of similar age
#143,182
of 442,943 outputs
Outputs of similar age from Frontiers in Psychology
#247
of 544 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 30,230 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 65% 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 442,943 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 544 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 53% of its contemporaries.