Evidence map›Paper›PMID 31187662›Full record

ArticlePlant signaling & behavior2019

Deciphering the non-coding RNA-level response to arsenic stress in rice (

Zhonghai Tang, Min Xu, Hidetaka Ito, Jiahui Cai, Xiaoxia Ma, Jingping Qin, Dongliang Yu, Yijun Meng

Open access · bronzeAbstract read
In one paragraph

Article in Plant signaling & behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
7.3field-weighted citation impact, top 4% 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

9 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. microRNAs: Key Players in Plant Response to Metal Toxicity.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Review
  7. Review
  8. Understanding epigenomics based on the rice model.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  9. 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 at 3 institutions in 2 countries.

Zhonghai TangCollege of Food Science and Technology, Hunan Agricultural University , Changsha , PR China.
Min XuCollege of Life and Environmental Sciences, Hangzhou Normal University , Hangzhou , PR China.
Hidetaka ItoFaculty of Science, Hokkaido University , Sapporo , Japan.
Jiahui CaiCollege of Life and Environmental Sciences, Hangzhou Normal University , Hangzhou , PR China.
Xiaoxia MaCollege of Life and Environmental Sciences, Hangzhou Normal University , Hangzhou , PR China.
Jingping QinCollege of Bioscience and Biotechnology, Hunan Agricultural University , Changsha , Hunan , PR China.
Dongliang YuCollege of Life and Environmental Sciences, Hangzhou Normal University , Hangzhou , PR China.
Yijun MengCollege of Life and Environmental Sciences, Hangzhou Normal University , Hangzhou , PR China.
Hangzhou Normal University · CNHunan Agricultural University · CNHokkaido University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arsenic (As) contamination in subsoil and groundwater is a big problem, especially in many South-East Asian countries. As a staple crop growing under flooded condition in these areas, rice (

Indexed as

ArsenicGene Expression Regulation, PlantGene OntologyGene Regulatory NetworksGenetic LociMicroRNAsOpen Reading FramesOryzaPlant ProteinsPlant RootsPlant ShootsRNA, MessengerRNA, PlantRNA, UntranslatedStress, PhysiologicalArsenicMicroRNAsPlant ProteinsRNA, MessengerRNA, PlantRNA, Untranslatedargonautearsenic (As)long non-coding RNA (lncRNA)Ricesmall RNA (sRNA)target

Identifiers

PMID31187662
PMCPMC6768179
OpenAlexW2952254821

What OpenQuestion holds

Textmetadata
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.