Evidence map›Paper›PMID 36280675›Full record

ArticleNature communications2022

Direct synthesis of cyanate anion from dinitrogen catalysed by molybdenum complexes bearing pincer-type ligand.

Takayuki Itabashi, Kazuya Arashiba, Akihito Egi, Hiromasa Tanaka, Keita Sugiyama, Shun Suginome, Shogo Kuriyama, Kazunari Yoshizawa, Yoshiaki Nishibayashi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Reductive NAngewandte Chemie (International ed. in English) · 2025
    Article
  3. Article
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

9 authors.

Takayuki ItabashiDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan.
Kazuya ArashibaDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan.
Akihito EgiInstitute for Materials Chemistry and Engineering, Kyushu University, Nishi-ku, Fukuoka, 819-0395, Japan.
Hiromasa TanakaSchool of Liberal Arts and Sciences, Daido University, Minami-ku, Nagoya, 457-8530, Japan.
Keita SugiyamaDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan.
Shun SuginomeDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan.ORCID http://orcid.org/0000-0003-2460-0708
Shogo KuriyamaDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan.ORCID http://orcid.org/0000-0003-2052-9895
Kazunari YoshizawaInstitute for Materials Chemistry and Engineering, Kyushu University, Nishi-ku, Fukuoka, 819-0395, Japan. kazunari@ms.ifoc.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0002-6279-9722
Yoshiaki NishibayashiDepartment of Applied Chemistry, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, 113-8656, Japan. ynishiba@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-9739-9588

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dinitrogen is an abundant and promising material for valuable organonitrogen compounds containing carbon-nitrogen bonds. Direct synthetic methods for preparing organonitrogen compounds from dinitrogen as a starting reagent under mild reaction conditions give insight into the sustainable production of valuable organonitrogen compounds with reduced fossil fuel consumption. Here we report the catalytic reaction for the formation of cyanate anion (NCO

Identifiers

PMID36280675
PMCPMC9592615

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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.