Evidence map›Paper›PMID 34078884›Full record

ReviewNature communications2021

Toward a mechanistic understanding of electrocatalytic nanocarbon.

Erik J Askins, Marija R Zoric, Matthew Li, Zhengtang Luo, Khalil Amine, Ksenija D Glusac

Abstract readReview
In one paragraph

Review in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Encapsulated FeHeliyon · 2025
    Article
  2. Review
  3. Article
  4. Unexpected catalytic activity of nanorippled graphene.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Erik J AskinsDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-8252-9714
Marija R ZoricDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-7296-0121
Matthew LiChemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, IL, USA.ORCID http://orcid.org/0000-0001-9093-3207
Zhengtang LuoDepartment of Chemical and Biological Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, Hong Kong.
Khalil AmineChemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, IL, USA.ORCID http://orcid.org/0000-0001-9206-3719
Ksenija D GlusacDepartment of Chemistry, University of Illinois at Chicago, Chicago, IL, USA. glusac@uic.edu.ORCID http://orcid.org/0000-0002-2734-057X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrocatalytic nanocarbon (EN) is a class of material receiving intense interest as a potential replacement for expensive, metal-based electrocatalysts for energy conversion and chemical production applications. The further development of EN will require an intricate knowledge of its catalytic behaviors, however, the true nature of their electrocatalytic activity remains elusive. This review highlights work that contributed valuable knowledge in the elucidation of EN catalytic mechanisms. Experimental evidence from spectroscopic studies and well-defined molecular models, along with the survey of computational studies, is summarized to document our current mechanistic understanding of EN-catalyzed oxygen, carbon dioxide and nitrogen electrochemistry. We hope this review will inspire future development of synthetic methods and in situ spectroscopic tools to make and study well-defined EN structures.

Identifiers

PMID34078884
PMCPMC8172927

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.