The DOI matches its Crossref record.
Combined Effects on Selectivity in Fe-Catalyzed Methylene Oxidation
Abstract
Secondary Selectivity: Organic molecules consist principally of rings and chains of methylene (secondary) CH 2 groups, intermittently adorned with oxygen or nitrogen centers and more heavily substituted carbons at the junctions. Synthetic transformations would be most efficient if the C–H bonds in any particular methylene group along the framework could be targeted for selective modification. However, for the most part, these carbon centers prove remarkably hard to differentiate for reactive purposes. Chen and White (p. 566 ) now show that an iron catalyst can direct peroxide to oxidize specific secondary C–H bonds preferentially, and with reasonable efficiency, in a range of complex molecules. The observed selectivities follow predictable trends correlated with the electronic and steric environment of the target site.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Synthetic Applications of Proton-Coupled Electron Transfer
Gentry, E. C., & Knowles, R. R. (2016) · Accounts of Chemical Research · doi:10.1021/acs.accounts.6b00272 · Cited by 773
O–H hydrogen bonding promotes H-atom transfer from α C–H bonds for C-alkylation of alcohols
Jeffrey, J. L., Terrett, J. A., & MacMillan, D. W. C. (2015) · Science · doi:10.1126/science.aac8555 · Cited by 594
Dai, Y., Poidevin, C., Ochoa‐Hernández, C., Auer, A. A., & Tüysüz, H. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.201915034 · Cited by 269
Chemo- and site-selective derivatizations of natural products enabling biological studies
Robles, O., & Romo, D. (2014) · Nat. Prod. Rep. · doi:10.1039/c3np70087a · Cited by 154
Metadata
- Authors
- Chen, M. S., & White, M. C.
- Venue
- Science
- Published
- 2010-01-29
- Volume
- 327
- Issue
- 5965
- Pages
- 566-571
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2019406135
- Cited by
- 765
- References
- 0
- FWCI
- 37.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Combined Effects on Selectivity in Fe-Catalyzed Methylene Oxidation. https://app.cochat.ai/papers/10.1126/science.1183602
- The paper
- Chen, M. S., & White, M. C. (2010). Combined Effects on Selectivity in Fe-Catalyzed Methylene Oxidation. Science. https://doi.org/10.1126/science.1183602
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.