ArticleFrontiers in psychology2016
A Dynamic Network Model to Explain the Development of Excellent Human Performance.
Article in Frontiers in psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- A Bayesian perspective on geographic influences in coach decision-making for athlete identification and selection.Scientific reports · 2026Article
- Early identification of dropouts during the special forces selection program.Scientific reports · 2025Article
- Voices of excellence: elite athletes' perspectives on support gaps, suggestions for improvement and their emergence.Frontiers in sports and active living · 2025Article
- Mechanistic or Relational Worldview for Talent Identification Research in Sport Science? Both-But With a Preference!Journal for person-oriented research · 2023Article
- Physical fitness and motor competence performance characteristics of Chinese elite youth athletes from four track and field throwing disciplines-a cross-sectional study.Frontiers in physiology · 2023Article
- A Minimal Theory of Creative Ability.Journal of Intelligence · 2021Review
- Patterns of Adaptation in Child-Directed and Child Speech in the Emergence of Hebrew Verbs.Frontiers in psychology · 2021Article
- Talent Identification in Youth Soccer: Prognosis of U17 Soccer Performance on the Basis of General Athleticism and Talent Promotion Interventions in Second-Grade Children.Frontiers in sports and active living · 2021Article
- Storm Clouds on the Horizon: On the Emerging Need to Tighten Selection Policies.Frontiers in sports and active living · 2021Article
- The Link between Microdevelopment and Long-Term Learning Trajectories in Science Learning.Human development · 2019Article
- A Relational Ontology for Psychology: Life as an Asymmetric Subjet-Object Choosing Relation : Review of A New Logical Foundation for Psychology, J. Mammen, Springer, 2017.Integrative psychological & behavioral science · 2019Article
- Waste Reduction Strategies: Factors Affecting Talent Wastage and the Efficacy of Talent Selection in Sport.Frontiers in psychology · 2019Review
- Understanding High Achievement: The Case for Eminence.Frontiers in psychology · 2019Article
- Socio-Emotional Concern Dynamics in a Model of Real-Time Dyadic Interaction: Parent-Child Play in Autism.Frontiers in psychology · 2019Article
- Towards a general modeling framework of resource competition in cognitive development.Child developmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across different domains, from sports to science, some individuals accomplish excellent levels of performance. For over 150 years, researchers have debated the roles of specific nature and nurture components to develop excellence. In this article, we argue that the key to excellence does not reside in specific underlying components, but rather in the ongoing interactions among the components. We propose that excellence emerges out of dynamic networks consisting of idiosyncratic mixtures of interacting components such as genetic endowment, motivation, practice, and coaching. Using computer simulations we demonstrate that the dynamic network model accurately predicts typical properties of excellence reported in the literature, such as the idiosyncratic developmental trajectories leading to excellence and the highly skewed distributions of productivity present in virtually any achievement domain. Based on this novel theoretical perspective on excellent human performance, this article concludes by suggesting policy implications and directions for future research.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.