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Showing 1–9 of 9 results
Advanced filters: Author: Jeremy Rotman Clear advanced filters

  • A large-scale study on the replicability of claims from social and behavioural science journals reports that about half of the results replicate in the same patterns as the original study.

    • Andrew H. Tyner
    • Anna Lou Abatayo
    • Timothy M. Errington
    Research
    Nature
    Volume: 652, P: 143-150

  • Robustness checks and reproduction of analyses with existing and updated data based on 110 articles in economics and political science journals with data and code-sharing requirements found high levels of robustness and reproducibility and determined that robustness was not dependent on author characteristics or data availability.

    • Abel Brodeur
    • Derek Mikola
    • Yaolang Zhong
    Research
    Nature
    Volume: 652, P: 151-156

  • Metamaterials show many intriguing properties, which are often limited to a narrow range of frequencies. The demonstration of a low-loss broadband metamaterial at radiofrequencies promises applications as enhanced antennas, for example.

    • Erik Lier
    • Douglas H. Werner
    • Jeremy A. Bossard
    Research
    Nature Materials
    Volume: 10, P: 216-222

  • Information on immune receptor repertoire provides important insights on disease progression and therapy development, but can be expensive and time-consuming to obtain. Here the authors report ImReP, a computational method that can extract detailed immune repertoire information from existing tissue-specific RNA sequencing data.

    • Igor Mandric
    • Jeremy Rotman
    • Serghei Mangul
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14

  • The results obtained by seventy different teams analysing the same functional magnetic resonance imaging dataset show substantial variation, highlighting the influence of analytical choices and the importance of sharing workflows publicly and performing multiple analyses.

    • Rotem Botvinik-Nezer
    • Felix Holzmeister
    • Tom Schonberg
    Research
    Nature
    Volume: 582, P: 84-88

  • The authors defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

    • Barbara Franke
    • Jason L Stein
    • Patrick F Sullivan
    Research
    Nature Neuroscience
    Volume: 19, P: 420-431