In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
19 authors.
Tingting MeiSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0006-7543-8527 Bowei ZhangAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0003-4073-8926 Tanzeela YousafSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Jan SeidelSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0003-2814-3241 Dawei SuApplied Chemistry & Environmental Science, School of Science, RMIT University, Melbourne, VIC 3000, Australia.ORCID 0000-0002-3972-8205 Zijian FengSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0007-9937-1715 Tianxu HuangSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0009-0003-5083-541X Fandi ChenSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0002-4298-2925 Zhi LiSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0002-2211-2092 Chun Hui WangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0001-6081-1487 Wenlong ChengSchool of Biomedical Engineering, University of Sydney, Darlington 2008, NSW, Australia.ORCID 0000-0002-2346-4970 Yichen LiuSchool of Materials Science and Engineering, Southeast University, Nanjing, 211189, China.ORCID 0000-0003-0950-3248 Tom WuDepartment of Applied Physics, The Hong Kong Polytechnic University, Hong Kong, 999077, China.
Long HuSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0001-7408-5631 Miaoqiang LyuAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0003-0212-4325 Chun-Ho LinSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0003-0882-4728 Lianzhou WangAustralian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, Queensland 4072, Australia.ORCID 0000-0002-5947-306X Dewei ChuSchool of Materials Science and Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.ORCID 0000-0003-4581-0560 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Advanced vision systems for autonomous robotics require high efficiency, ultralow power consumption, and real-time decision-making. However, conventional vision sensors that rely on single-mode optical excitation fundamentally constrain their versatility. Here, we report a fully light-tunable optoelectronic synaptic device based on perovskite PEA
Identifiers
PMID42685189
PMCPMC13537266
What OpenQuestion holds
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