Evidence map›Paper›PMID 39329814›Full record

ArticleBiosensors2024

Investigation of Interferences of Wearable Sensors with Plant Growth.

Xiao Xiao, Xinyue Liu, Yanbo Liu, Chengjin Tu, Menglong Qu, Jingjing Kong, Yongnian Zhang, Cheng Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Xiao XiaoCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Xinyue LiuCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Yanbo LiuCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Chengjin TuCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Menglong QuCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Jingjing KongCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Yongnian ZhangCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.
Cheng ZhangCollege of Engineering, Nanjing Agricultural University, Nanjing 210095, China.

Funding

China Postdoctoral Science Foundation 2022M721639Jiangsu Agricultural Science and Technology Innovation Funds No. CX(22)3118Jiangsu Province Modern Agricultural Machinery Equipment and Technology Demonstration and Promotion Project NJ2023-07National Key Research and Development Program 2023YFD2000303the Fundamental Research Funds for the Central Universities No. KYCYXT2022015the Jiangsu Key R&D Program Project BE2021016
6 · The paper itself

Abstract

Plant wearable sensors have shown exceptional promise in continuously monitoring plant health. However, the potential adverse effects of these sensors on plant growth remain unclear. This study systematically quantifies wearable sensors' interference with plant growth using two ornamental species,

Indexed as

Plant DevelopmentPlant LeavesWearable Electronic DevicesBiosensing Techniquesplant growth interferenceplant health monitoringplant wearable sensorsensor design

Identifiers

PMID39329814
PMCPMC11430609

What OpenQuestion holds

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LicenceCC BY
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.