Item talk:Q166876

{

 "OpenAlex": {
   "cited_by_count": 818540,
   "created_date": "2024-01-23",
   "description": "This cluster of papers explores the development of numerical cognition, including topics such as mathematical achievement, working memory, executive functioning, developmental dyscalculia, approximate number system, spatial representation, and early numeracy. The research covers various aspects of cognitive development related to numerical processing and mathematics abilities in children and adults.",
   "display_name": "Development of Numerical Cognition and Mathematics Abilities",
   "domain": {
     "id": "https://openalex.org/domains/3",
     "display_name": "Physical Sciences"
   },
   "field": {
     "id": "https://openalex.org/fields/26",
     "display_name": "Mathematics"
   },
   "id": "https://openalex.org/T11345",
   "ids": {
     "openalex": "https://openalex.org/T11345",
     "wikipedia": "https://en.wikipedia.org/wiki/Numerical_cognition"
   },
   "keywords": [
     "Numerical Cognition",
     "Mathematical Achievement",
     "Working Memory",
     "Executive Functioning",
     "Number Processing",
     "Developmental Dyscalculia",
     "Approximate Number System",
     "Spatial Representation",
     "Early Numeracy",
     "Cognitive Development"
   ],
   "siblings": [
     {
       "id": "https://openalex.org/T12056",
       "display_name": "Bayesian Monte Carlo Methods in Scientific Inference"
     },
     {
       "id": "https://openalex.org/T13680",
       "display_name": "Complex Probability Paradigm"
     },
     {
       "id": "https://openalex.org/T11871",
       "display_name": "Detection and Handling of Multicollinearity in Regression Analysis"
     },
     {
       "id": "https://openalex.org/T13546",
       "display_name": "Estimation of Population Size Using Capture-Recapture Models"
     },
     {
       "id": "https://openalex.org/T12135",
       "display_name": "Fuzzy Differential Equations and Uncertainty Modeling"
     },
     {
       "id": "https://openalex.org/T13797",
       "display_name": "Introduction to Probability and Statistics"
     },
     {
       "id": "https://openalex.org/T10845",
       "display_name": "Methods for Causal Inference in Observational Studies"
     },
     {
       "id": "https://openalex.org/T10243",
       "display_name": "Methods for Handling Missing Data in Statistical Analysis"
     },
     {
       "id": "https://openalex.org/T14374",
       "display_name": "Methods for Sample Size Calculation in Research"
     },
     {
       "id": "https://openalex.org/T13141",
       "display_name": "Multivariate Analysis in Statistical Research"
     },
     {
       "id": "https://openalex.org/T13500",
       "display_name": "Probability Theory and Statistical Modeling"
     },
     {
       "id": "https://openalex.org/T11716",
       "display_name": "Random Matrix Theory and Its Applications"
     },
     {
       "id": "https://openalex.org/T10136",
       "display_name": "Regularization and Variable Selection Methods"
     },
     {
       "id": "https://openalex.org/T10968",
       "display_name": "Skew Distributions and Applications in Statistics"
     },
     {
       "id": "https://openalex.org/T13720",
       "display_name": "Statistical Analysis of Benford's Law Phenomenon"
     },
     {
       "id": "https://openalex.org/T12062",
       "display_name": "Statistical Convergence in Approximation Theory and Functional Analysis"
     },
     {
       "id": "https://openalex.org/T11875",
       "display_name": "Statistical Literacy and Reasoning in Education"
     },
     {
       "id": "https://openalex.org/T13030",
       "display_name": "Statistical Methods for Sensitive Survey Questions"
     },
     {
       "id": "https://openalex.org/T11235",
       "display_name": "Statistical Methods in Clinical Trials and Drug Development"
     }
   ],
   "subfield": {
     "id": "https://openalex.org/subfields/2613",
     "display_name": "Statistics and Probability"
   },
   "updated_date": "2024-08-19T05:40:34.082960",
   "works_count": 36714,
   "oa_id": "T11345"
 }

}