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Attention Score in Context
| Title |
Beyond modeling abstractions: learning nouns over developmental time in atypical populations and individuals
|
|---|---|
| Published in |
Frontiers in Psychology, January 2013
|
| DOI | 10.3389/fpsyg.2013.00871 |
| Pubmed ID | |
| Authors |
Clare E. Sims, Savannah M. Schilling, Eliana Colunga |
| Abstract |
Connectionist models that capture developmental change over time have much to offer in the field of language development research. Several models in the literature have made good contact with developmental data, effectively captured behavioral tasks, and accurately represented linguistic input available to young children. However, fewer models of language development have truly captured the process of developmental change over time. In this review paper, we discuss several prominent connectionist models of early word learning, focusing on semantic development, as well as our recent work modeling the emergence of word learning biases in different populations. We also discuss the potential of these kinds of models to capture children's language development at the individual level. We argue that a modeling approach that truly captures change over time has the potential to inform theory, guide research, and lead to innovations in early language intervention. |
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% |
| United States | 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 10% |
| Unknown | 35 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 28% |
| Researcher | 6 | 15% |
| Student > Bachelor | 4 | 10% |
| Professor | 3 | 8% |
| Lecturer > Senior Lecturer | 2 | 5% |
| Other | 5 | 13% |
| Unknown | 8 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 36% |
| Linguistics | 4 | 10% |
| Social Sciences | 3 | 8% |
| Computer Science | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 28% |
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 06 December 2013.
All research outputs
#15,235,403
of 22,733,113 outputs
Outputs from Frontiers in Psychology
#18,203
of 29,561 outputs
Outputs of similar age
#180,939
of 280,774 outputs
Outputs of similar age from Frontiers in Psychology
#705
of 969 outputs
Altmetric has tracked 22,733,113 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 29,561 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 37th percentile – i.e., 37% 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 280,774 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 969 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.