Evidence map›Paper›PMID 30959810›Full record

ArticleInternational journal of molecular sciences2019

Transcriptional Profile Corroborates that

Delara Akhter, Ran Qin, Ujjal Kumar Nath, Jamal Eshag, Xiaoli Jin, Chunhai Shi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. RNA-Seq-Based Profiling ofInternational journal of molecular sciences · 2021
    Article
  2. Article
  3. Plants (Basel, Switzerland) · 2019
    Review
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

6 authors at 2 institutions in 2 countries.

Delara AkhterDepartment of Agronomy, Zhejiang University, Hangzhou 310027, China. 11516090@zju.edu.cn.
Ran QinDepartment of Agronomy, Zhejiang University, Hangzhou 310027, China. ranqin89@zju.edu.cn.
Ujjal Kumar NathDepartment of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh. ujjalnath@gmail.com.
Jamal EshagDepartment of Agronomy, Zhejiang University, Hangzhou 310027, China. jamaladam@zju.edu.cn.
Xiaoli JinDepartment of Agronomy, Zhejiang University, Hangzhou 310027, China. jinxl@zju.edu.cn.
Chunhai ShiDepartment of Agronomy, Zhejiang University, Hangzhou 310027, China. chhshi@zju.edu.cn.
Zhejiang University · CNBangladesh Agricultural University · BD

Funding

This study was supported by grants from the Science and Technology Office of Zhejiang Province and a grant from National Key Research and Development of China 2012C12901-2, 2016C32G2010016, 2016C02050-6 and 2017YFD0100300-5
6 · The paper itself

Abstract

Leaf senescence is the last period of leaf growth and a dynamic procedure associated with its death. The adaptability of the plants to changing environments occurs thanks to leaf senescence. Hence, transcriptional profiling is important to figure out the exact mechanisms of inducing leaf senescence in a particular crop, such as rice. From this perspective, leaf samples of two different rice genotypes, the

Indexed as

Gene Expression ProfilingCluster AnalysisGene Expression Regulation, PlantGene OntologyMutationOryzaPhenotypePlant LeavesTranscriptomebml (brown midrib leaf)cluster analysisDEGsGOKEGGKOGricetranscriptional analysis

Identifiers

PMID30959810
PMCPMC6480502
OpenAlexW2933749042

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.