Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2022Intra- and Interday Reliability of Weightlifting Variables and Correlation to Performance During Cleans4citations
  • 2016Physical Characteristics Underpinning Lunging and Change of Direction Speed in Fencing35citations

Places of action

Chart of shared publication
Turner, Anthony N.
1 / 2 shared
Sorensen, Angela M.
1 / 1 shared
Comfort, Paul
1 / 1 shared
Lake, Jason
1 / 1 shared
Kilduff, Liam P.
1 / 1 shared
Brazier, Jon
1 / 1 shared
Edwards, Mike
1 / 1 shared
Turner, Anthony
1 / 4 shared
Bishop, Chris
1 / 4 shared
Chart of publication period
2022
2016

Co-Authors (by relevance)

  • Turner, Anthony N.
  • Sorensen, Angela M.
  • Comfort, Paul
  • Lake, Jason
  • Kilduff, Liam P.
  • Brazier, Jon
  • Edwards, Mike
  • Turner, Anthony
  • Bishop, Chris
OrganizationsLocationPeople

article

Intra- and Interday Reliability of Weightlifting Variables and Correlation to Performance During Cleans

  • Turner, Anthony N.
  • Sorensen, Angela M.
  • Comfort, Paul
  • Chavda, Shyam
  • Lake, Jason
Abstract

<jats:title>Abstract</jats:title><jats:p>Sorensen, AM, Chavda, S, Comfort, P, Lake, J, and Turner, AN. Intra- and interday reliability of weightlifting variables and correlation to performance during cleans. <jats:italic toggle="yes">J Strength Cond Res</jats:italic> 36(11): 3008–3014, 2022—The purpose of this investigation was to examine intra- and interday reliability of kinetic and kinematic variables assessed during the clean, assess their relationship to clean performance, and determine their suitability in weightlifting performance analysis. Eight competitive weightlifters performed 3 sets of single repetition cleans with 90% of their 1-repetition maximum (1RM). Force-time data were collected via dual force plates with displacement-time data collected via 3-dimensional motion capture, on 3 separate occasions under the same testing conditions. Seventy kinetic and kinematic variables were analyzed for intra- and interday reliability using intraclass correlation coefficients (ICCs) and the coefficient of variation (CV). Pearson's correlation coefficients were calculated to determine relationships between barbell and body kinematics and ground reaction forces, and for correlations to be deemed as statistically significant, an alpha-level of <jats:italic toggle="yes">p</jats:italic> ≤ 0.005 was set. Eleven variables were found to have “good” to “excellent” intra- and interday ICC (0.779–0.994 and 0.974–0.996, respectively) and CV (0.64–6.89% and 1.14–6.37%, respectively), with strong correlations (<jats:italic toggle="yes">r</jats:italic> = 0.880–0.988) to cleans performed at 90% 1RM. Average resultant force of the weighting 1 (W1) phase demonstrated the best intra- and interday reliability (ICC = 0.994 and 0.996, respectively) and very strong correlation (<jats:italic toggle="yes">r</jats:italic> = 0.981) to clean performance. Average bar power from point of lift off to peak bar height exhibited the highest correlation (<jats:italic toggle="yes">r</jats:italic> = 0.988) to clean performance. Additional reliable variables with strong correlations to clean performance were found, many of these occurred during or included the W1 phase, which suggests that coaches should pay particular attention to the performance of the W1 phase.</jats:p>

Topics
  • phase
  • strength
  • additive manufacturing