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Expression of Concern: Symmetry 2023, 15(1), 219.
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Expression of Concern

Expression of Concern: Lin et al. A Perception Study for Unit Charts in the Context of Large-Magnitude Data Representation. Symmetry 2023, 15, 219

by
Symmetry Editorial Office
MDPI, St. Alban-Anlage 66, 4052 Basel, Switzerland
Symmetry 2024, 16(1), 6; https://doi.org/10.3390/sym16010006
Submission received: 6 December 2023 / Accepted: 12 December 2023 / Published: 19 December 2023
With this notice, the Symmetry Editorial Office states its awareness of concerns regarding the availability and validity of the data as well as the overall findings of the published manuscript [1]. The authors of this publication have been contacted for further clarification on this matter. The journal Editor in Chief and Editorial Office are coordinating an investigation in accordance with MDPI procedures and the Committee on Publication Ethics (COPE) guidelines. An update will be available once the investigation is complete.

Reference

  1. Lin, Y.; Tang, Y.; Zhu, Y.; Song, F.; Tang, W. A Perception Study for Unit Charts in the Context of Large-Magnitude Data Representation. Symmetry 2023, 15, 219. [Google Scholar] [CrossRef]
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MDPI and ACS Style

Symmetry Editorial Office. Expression of Concern: Lin et al. A Perception Study for Unit Charts in the Context of Large-Magnitude Data Representation. Symmetry 2023, 15, 219. Symmetry 2024, 16, 6. https://doi.org/10.3390/sym16010006

AMA Style

Symmetry Editorial Office. Expression of Concern: Lin et al. A Perception Study for Unit Charts in the Context of Large-Magnitude Data Representation. Symmetry 2023, 15, 219. Symmetry. 2024; 16(1):6. https://doi.org/10.3390/sym16010006

Chicago/Turabian Style

Symmetry Editorial Office. 2024. "Expression of Concern: Lin et al. A Perception Study for Unit Charts in the Context of Large-Magnitude Data Representation. Symmetry 2023, 15, 219" Symmetry 16, no. 1: 6. https://doi.org/10.3390/sym16010006

APA Style

Symmetry Editorial Office. (2024). Expression of Concern: Lin et al. A Perception Study for Unit Charts in the Context of Large-Magnitude Data Representation. Symmetry 2023, 15, 219. Symmetry, 16(1), 6. https://doi.org/10.3390/sym16010006

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