Evidence map›Paper›PMID 29518046›Full record

ArticleGenes2018

Analysis of Gene Regulatory Networks of Maize in Response to Nitrogen.

Lu Jiang, Graham Ball, Charlie Hodgman, Anne Coules, Han Zhao, Chungui Lu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Analysis of Gene Regulatory Networks of Taro (International journal of genomics · 2025
    Article
  5. The Identification ofPlants (Basel, Switzerland) · 2024
    Article
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  8. Review
  9. Article
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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 3 institutions in 2 countries.

Lu JiangProvincial Key Laboratory of Agrobiology, Institute of Industrial Crops, Jiangsu Academy of Agricultural Sciences, Nanjing 20014, China. jldeer26@163.com.
Graham BallThe John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham NG11 8NS, UK. graham.ball@ntu.ac.uk.
Charlie HodgmanUniversity of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK. charlie.hodgman@nottingham.ac.uk.ORCID 0000-0001-5862-8296
Anne CoulesSchool of Animal Rural & Environmental Sciences, Nottingham Trent University, Nottingham NG25 0QF, UK. anne.coules@ntu.ac.uk.
Han ZhaoProvincial Key Laboratory of Agrobiology, Institute of Agricultural Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing 20014, China. zhaohan@jaas.ac.cn.ORCID 0000-0001-6877-000X
Chungui LuSchool of Animal Rural & Environmental Sciences, Nottingham Trent University, Nottingham NG25 0QF, UK. chungui.lu@ntu.ac.uk.
Nottingham Trent University · GBJiangsu Academy of Agricultural Sciences · CNUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nitrogen (N) fertilizer has a major influence on the yield and quality. Understanding and optimising the response of crop plants to nitrogen fertilizer usage is of central importance in enhancing food security and agricultural sustainability. In this study, the analysis of gene regulatory networks reveals multiple genes and biological processes in response to N. Two microarray studies have been used to infer components of the nitrogen-response network. Since they used different array technologies, a map linking the two probe sets to the maize B73 reference genome has been generated to allow comparison. Putative

Indexed as

maizenetwork analysisnitrogen response genesregulatory network inference

Identifiers

PMID29518046
PMCPMC5867872
OpenAlexW2789970564

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.