The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
GREEN MOTION: a new and easy to use green chemistry metric from laboratories to industry
Abstract
GREEN MOTION™ by MANE is a novel approach for designing a new green metric that enables the measurement of the overall safety of a product, its impact on the environment and on the health of the people producing or using it.
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Citations
Cites
Jimenez-Gonzalez, C., Ponder, C. S., Broxterman, Q. B., & Manley, J. B. (2011) · Organic Process Research & Development · doi:10.1021/op200097d · Cited by 910
Cited by
Role of Biocatalysis in Sustainable Chemistry
Sheldon, R. A., & Woodley, J. M. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00203 · Cited by 1,755
The E factor 25 years on: the rise of green chemistry and sustainability
Sheldon, R. A. (2017) · Green Chemistry · doi:10.1039/c6gc02157c · Cited by 1,525
Metrics for green analytical chemistry
Tobiszewski, M. (2016) · Analytical Methods · doi:10.1039/c6ay00478d · Cited by 420
Peyrot, C., Mention, M. M., Fournier, R., Brunissen, F., Couvreur, J., Balaguer, P., & Allais, F. (2020) · Green Chemistry · doi:10.1039/d0gc02763d · Cited by 29
Metadata
- Authors
- Phan, T. V. T., Gallardo, C., & Mane, J.
- Venue
- Green Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2015
- Volume
- 17
- Issue
- 5
- Pages
- 2846-2852
- ISSN
- 1463-9262 (ISSN-L)
- 1463-9270
- OpenAlex
- W1971031504
- Cited by
- 165
- References
- 1
- FWCI
- 5.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: GREEN MOTION: a new and easy to use green chemistry metric from laboratories to industry. https://app.cochat.ai/papers/10.1039/c4gc02169j
- The paper
- Phan, T. V. T., Gallardo, C., & Mane, J. (2015). GREEN MOTION: a new and easy to use green chemistry metric from laboratories to industry. Green Chemistry. https://doi.org/10.1039/c4gc02169j
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
