Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-weighted citation impact, top 27% of its field
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
2 citing papers in PubMed, 14 citations in OpenAlex.
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
7 authors at 2 institutions in 1 country.
Xin SunState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, 102206, China.
Min WangState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, 102206, China.
Hai-Fang LiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, 102206, China.
Linxing MengSchool of Physical Science and Technology, Jiangsu Key Laboratory of Thin Films, Center for Energy Conversion Materials & Physics (CECMP), Soochow University, Suzhou, 215006, China.
Xiao-Jun LvState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, 102206, China.ORCID https://orcid.org/0000-0002-8040-881X
Liang LiSchool of Physical Science and Technology, Jiangsu Key Laboratory of Thin Films, Center for Energy Conversion Materials & Physics (CECMP), Soochow University, Suzhou, 215006, China.ORCID https://orcid.org/0000-0003-0708-7762
Meicheng LiState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of New Energy, North China Electric Power University, Beijing, 102206, China.ORCID https://orcid.org/0000-0002-0731-741X
North China Electric Power University · CNSoochow University · CN
Funding
2022 Strategic Research Key Project of Science and Technology Commission of the Ministry of EducationBeijing Natural Science Foundation 2222076Beijing Natural Science Foundation 2222077Beijing Science and Technology Project Z211100004621010China Postdoctoral Science Foundation 2022M721129Fundamental Research Funds for the Central Universities 2020MS023Fundamental Research Funds for the Central Universities 2020MS028Fundamental Research Funds for the Central Universities 2021MS028Fundamental Research Funds for the Central Universities 2022MS030Hebei Natural Science Foundation E2022502022Huaneng Group Headquarters Science and Technology Project HNKJ20-H88National Key Research and Development Program of China 2021YFA1500800National Natural Science Foundation of China 51972110National Natural Science Foundation of China 52072121National Natural Science Foundation of China 52102245National Natural Science Foundation of China 52272200State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources LAPS202114State Key Laboratory Of Alternate Electrical Power System With Renewable Energy Sources LAPS21004
6 · The paper itself
Abstract
Oxide-based photoelectrodes commonly generate deep trap states associated with various intrinsic defects such as vacancies, antisites, and dislocations, limiting their photoelectrochemical properties. Herein, it is reported that rhombohedral GaFeO
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.