Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries
C. Thiele, G. Hirschfeld, R. von Brachel, Scientometrics 126 (2021).
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Scientometrics
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Thiele, Christian ; Hirschfeld, Gerrit ; von Brachel, Ruth: Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries. In: Scientometrics Bd. 126, Springer Science and Business Media LLC (2021)
Thiele C, Hirschfeld G, von Brachel R. Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries. Scientometrics. 2021;126. doi:10.1007/s11192-021-04111-w
Thiele, C., Hirschfeld, G., & von Brachel, R. (2021). Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries. Scientometrics, 126. https://doi.org/10.1007/s11192-021-04111-w
@article{Thiele_Hirschfeld_von Brachel_2021, title={Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries}, volume={126}, DOI={10.1007/s11192-021-04111-w}, journal={Scientometrics}, publisher={Springer Science and Business Media LLC}, author={Thiele, Christian and Hirschfeld, Gerrit and von Brachel, Ruth}, year={2021} }
Thiele, Christian, Gerrit Hirschfeld, and Ruth von Brachel. “Clinical Trial Registries as Scientometric Data: A Novel Solution for Linking and Deduplicating Clinical Trials from Multiple Registries.” Scientometrics 126 (2021). https://doi.org/10.1007/s11192-021-04111-w.
C. Thiele, G. Hirschfeld, and R. von Brachel, “Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries,” Scientometrics, vol. 126, 2021.
Thiele, Christian, et al. “Clinical Trial Registries as Scientometric Data: A Novel Solution for Linking and Deduplicating Clinical Trials from Multiple Registries.” Scientometrics, vol. 126, Springer Science and Business Media LLC, 2021, doi:10.1007/s11192-021-04111-w.
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