Evidence map›Paper›PMID 39236240›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Breaking the activity-selectivity trade-off of CO

Xiaoyue Wang, Ting Zeng, Xiaohong Guo, Zhiqiang Yan, Hongyan Ban, Ruwei Yao, Congming Li, Xiang-Kui Gu, Mingyue Ding

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Xiaoyue Wang *State Key Laboratory of Clean and Efficient Coal Utilization, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
Ting Zeng *School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-6010-0981
Xiaohong GuoState Key Laboratory of Clean and Efficient Coal Utilization, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
Zhiqiang YanState Key Laboratory of Clean and Efficient Coal Utilization, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
Hongyan BanState Key Laboratory of Clean and Efficient Coal Utilization, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
Ruwei YaoState Key Laboratory of Clean and Efficient Coal Utilization, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.
Congming LiState Key Laboratory of Clean and Efficient Coal Utilization, College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, China.ORCID 0000-0002-0707-8826
Xiang-Kui GuSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.
Mingyue DingSchool of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China.

Funding

China National Key Research and Development Plan Project 2022YFA1504700Key Research and Development Program of Shanxi Province 202202090301013National Natural Science Foundation of China 21676176National Natural Science Foundation of China 22273068National Natural Science Foundation of China U22A20394Natural Science Foundation of Shanxi Province 20210302123143
6 · The paper itself

Abstract

Catalytic hydrogenation of CO

Indexed as

CO2 hydrogenationlight olefinsSAPO-34ZnFeAlO4

Identifiers

PMID39236240
PMCPMC11406295

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.