Evidence map›Paper›PMID 36217004›Full record

ArticleNature communications2022

Direct production of olefins from syngas with ultrahigh carbon efficiency.

Hailing Yu, Caiqi Wang, Tiejun Lin, Yunlei An, Yuchen Wang, Qingyu Chang, Fei Yu, Yao Wei, Fanfei Sun, Zheng Jiang and 3 more

Abstract read
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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  3. Article
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  6. Article
  7. Article
  8. Engineering ZrONature communications · 2024
    Article
  9. Stabilized ε-FeNature communications · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. 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

13 authors.

Hailing Yu *CAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.ORCID http://orcid.org/0000-0002-5981-7723
Caiqi Wang *CAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.ORCID http://orcid.org/0000-0001-9884-9990
Tiejun Lin *CAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.ORCID http://orcid.org/0000-0002-9177-070X
Yunlei AnCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.
Yuchen WangCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.
Qingyu ChangCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.
Fei YuCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.
Yao WeiUniversity of the Chinese Academy of Sciences, Beijing, 100049, P. R. China.
Fanfei SunShanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.
Zheng JiangShanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.
Shenggang LiCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China.ORCID http://orcid.org/0000-0002-5173-0025
Yuhan SunCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China. sunyh@sari.ac.cn.ORCID http://orcid.org/0000-0002-2940-213X
Liangshu ZhongCAS Key Laboratory of Low-Carbon Conversion Science and Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, 201210, P. R. China. zhongls@sari.ac.cn.ORCID http://orcid.org/0000-0002-4167-8630

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22072177National Natural Science Foundation of China (National Science Foundation of China) 22172188National Natural Science Foundation of China (National Science Foundation of China) 91945301Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 21ZR1471700Natural Science Foundation of Shanghai (Natural Science Foundation of Shanghai Municipality) 22JC1404200
6 · The paper itself

Abstract

Syngas conversion serves as a competitive strategy to produce olefins chemicals from nonpetroleum resources. However, the goal to achieve desirable olefins selectivity with limited undesired C1 by-products remains a grand challenge. Herein, we present a non-classical Fischer-Tropsch to olefins process featuring high carbon efficiency that realizes 80.1% olefins selectivity with ultralow total selectivity of CH

Identifiers

PMID36217004
PMCPMC9550792

What OpenQuestion holds

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LicenceCC BY
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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.