Evidence map›Paper›PMID 38473718›Full record

ArticleInternational journal of molecular sciences2024

Genome-Wide Identification and Transcriptional Analysis of

Liang Xu, Ying Lan, Miaohong Lin, Hongkai Zhou, Sheng Ying, Miao Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Role of Serotonin in Cadmium Mitigation in Plants.Plants (Basel, Switzerland) · 2025
    Review
  7. Article
  8. 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

6 authors at 2 institutions in 2 countries.

Liang XuCollege of Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524091, China.
Ying LanCollege of Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524091, China.
Miaohong LinCollege of Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524091, China.
Hongkai ZhouCollege of Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524091, China.
Sheng YingDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48823, USA.
Miao ChenCollege of Agricultural Sciences, Guangdong Ocean University, Zhanjiang 524091, China.
Guangdong Ocean University · CNMichigan State University · US

Funding

Foundation of Education Department of Guangdong Province 230420045Key-Area Research and Development Program of Guangdong Province 2020B020219004Key Research and Development Plan Project of Ningxia Hui Autonomous Region 2022BBF03032Natural Science Foundation of Guangdong Province K22082Program for Scientific Research Start-up Funds of Guangdong Ocean University R19048Project of Science and Technology of Zhanjiang City A21403Zhanjiang city nonfunded science and technology research project 2020B01037
6 · The paper itself

Abstract

The apetala2/ethylene response factor (AP2/ERF) gene family plays a crucial role in regulating plant growth and development and responding to different abiotic stresses (e.g., drought, heat, cold, and salinity). However, the knowledge of the ERF family in pearl millet remains limited. Here, a total of 167 high-confidence

Indexed as

PennisetumEthylenesPhylogenyPlant ProteinsethyleneEthylenesPlant Proteinsabiotic stressesdehydration-responsive element binding protein (DREB)ethylene response factor (ERF)pearl millettranscriptionalanalysis

Identifiers

PMID38473718
PMCPMC10930990
OpenAlexW4391969489

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.