Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 182

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Efficient Electrocatalytic Proton Reduction with Carbon Nanotube-Supported Metal–Organic Frameworks

Micheroni, Daniel, Lan, Guangxu, Lin, Wenbin·2018·Journal of the American Chemical Society

Abstract

Hydrogen production from Earth-abundant catalysts remains an important but difficult challenge. Here we report the growth of Hf 12 -porphyrin metal–organic frameworks (MOFs) on carbon nanotubes (CNTs) for electrocatalytic proton reduction. Covalent attachment of MOF nanoplates to conductive CNTs improves electron transfer from the electrode to Co-porphyrin active sites, which leads to effective proton reduction via protonation of a Co I –H intermediate. The Hf 12 –CoDBP/CNT assembly afforded a turnover number of 32 000 in 30 min with a turnover frequency of 17.7 S –1, placing it among the most active Co-based molecular electrocatalysts.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jacs.8b09521

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cites

Show all 3 references

Cited by

See all 182

Metadata

Authors
Micheroni, D., Lan, G., & Lin, W.
Venue
Journal of the American Chemical Society
Published
2018-11-03
Volume
140
Issue
46
Pages
15591-15595
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W2898856659
Cited by
182
References
3
FWCI
4.64
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: Efficient Electrocatalytic Proton Reduction with Carbon Nanotube-Supported Metal–Organic Frameworks. https://app.cochat.ai/papers/10.1021/jacs.8b09521
The paper
Micheroni, D., Lan, G., & Lin, W. (2018). Efficient Electrocatalytic Proton Reduction with Carbon Nanotube-Supported Metal–Organic Frameworks. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b09521

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.