Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations

Daniel E. Acuna; Ziyue Xiang

arXiv:2003.00878 · 2020 · Preprint / working paper

About this work

Image similarities need a reference point: a repeated pattern might be rare, or it might be common in scientific imagery. This preprint develops a statistical baseline for estimating how often a feature could occur by chance.

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Daniel E. Acuna; Ziyue Xiang (2020). Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations. arXiv:2003.00878. 10.48550/arXiv.2003.00878.

@article{acuna2020nullmodel,
  title = {Estimating a Null Model of Scientific Image Reuse to Support Research Integrity Investigations},
  author = {Acuna, Daniel E. and Xiang, Ziyue},
  year = {2020},
  publication_date = {2020-02-22},
  journal = {arXiv:2003.00878},
  doi = {10.48550/arXiv.2003.00878},
  url = {https://arxiv.org/abs/2003.00878}
}
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