Evidence map›Paper›PMID 39423277›Full record

ArticleScience advances2024

Network of artificial olfactory receptors for spatiotemporal monitoring of toxic gas.

Yongmin Baek, Byungjoon Bae, Jeongyong Yang, Wonjun Cho, Inbo Sim, Geonwook Yoo, Seokhyun Chung, Junseok Heo, Kyusang Lee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2024. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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.

Yongmin BaekDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-4387-3042
Byungjoon BaeDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-4305-3853
Jeongyong YangDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0002-8887-5295
Wonjun ChoDepartment of Intelligence Semiconductor Engineering, Ajou University, Suwon 16499, South Korea.
Inbo SimDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.
Geonwook YooSchool of Electronic Engineering, Soongsil University, Seoul 06938, South Korea.ORCID 0000-0002-7826-9005
Seokhyun ChungDepartment of Systems and Information Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0001-5176-4180
Junseok HeoDepartment of Intelligence Semiconductor Engineering, Ajou University, Suwon 16499, South Korea.ORCID 0000-0002-8125-6141
Kyusang LeeDepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USA.ORCID 0000-0001-7123-3395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive human exposure to toxic gases can lead to chronic lung and cardiovascular diseases. Thus, precise in situ monitoring of toxic gases in the atmosphere is crucial. Here, we present an artificial olfactory system for spatiotemporal recognition of NO

Indexed as

Environmental MonitoringAir PollutantsAlgorithmsBayes TheoremGasesGraphiteHumansNeural Networks, ComputerNitrogen DioxideSpatio-Temporal AnalysisAir PollutantsGasesGraphiteNitrogen Dioxide

Identifiers

PMID39423277
PMCPMC11488541

What OpenQuestion holds

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LicenceCC BY-NC
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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.