Evidence map›Paper›PMID 30697221›Full record

ArticleFrontiers in plant science2018

Early Detection of

Rui-Qing Zhou, Juan-Juan Jin, Qing-Mian Li, Zhen-Zhu Su, Xin-Jie Yu, Yu Tang, Shao-Ming Luo, Yong He, Xiao-Li Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. 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 at 3 institutions in 1 country.

Rui-Qing ZhouCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Juan-Juan JinCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Qing-Mian LiZhejiang Machinery Industry Information Institute, Hangzhou, China.
Zhen-Zhu SuCollege of Agriculture and Biotechnology, Zhejiang University, Hangzhou, China.
Xin-Jie YuNingbo Institute of Technology, Zhejiang University, Ningbo, China.
Yu TangCollege of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Shao-Ming LuoCollege of Automation, Zhongkai University of Agriculture and Engineering, Guangzhou, China.
Yong HeCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Xiao-Li LiCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Zhejiang University · CNZhongkai University of Agriculture and Engineering · CNNingbo University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of foliar diseases is vital to the management of plant disease, since these pathogens hinder crop productivity worldwide. This research applied hyperspectral imaging (HSI) technology to early detection of

Indexed as

barleyinfection period identificationlesion visualizationMagnaporthe oryzaespectral unmixing analysis

Identifiers

PMID30697221
PMCPMC6341029
OpenAlexW2904097979

What OpenQuestion holds

Textmetadata
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.