Evidence map›Paper›PMID 33193507›Full record

ArticleFrontiers in plant science2020

Physiological and Transcriptome Analysis of Sugar Beet Reveals Different Mechanisms of Response to Neutral Salt and Alkaline Salt Stresses.

Gui Geng, Renren Li, Piergiorgio Stevanato, Chunhua Lv, Zhengyu Lu, Lihua Yu, Yuguang Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.5field-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

20 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Advances in Beet (Plants (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Comparative Transcriptomics of Multi-Stress Responses inInternational journal of molecular sciences · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Functional Characterization of a Sugar BeetInternational journal of molecular sciences · 2021
    Article
  19. Article
  20. 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

7 authors at 2 institutions in 2 countries.

Gui GengHeilongjiang Sugar Beet Center of Technology Innovation, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, China.
Renren LiCollege of Life Sciences, Heilongjiang University, Harbin, China.
Piergiorgio StevanatoDAFNAE, Dipartimento di Agronomia, Animali, Alimenti, Risorse Naturali e Ambiente, Università degli Studi di Padova, Legnaro, Padua, Italy.
Chunhua LvCollege of Life Sciences, Heilongjiang University, Harbin, China.
Zhengyu LuHeilongjiang Sugar Beet Center of Technology Innovation, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, China.
Lihua YuHeilongjiang Sugar Beet Center of Technology Innovation, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, China.
Yuguang WangHeilongjiang Sugar Beet Center of Technology Innovation, College of Advanced Agriculture and Ecological Environment, Heilongjiang University, Harbin, China.
Heilongjiang University · CNUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The salinization and alkalization of soil are widespread environmental problems. Sugar beet (

Indexed as

differentially expressed genephysiological analysissalt stresssugar beettranscriptomic analysis

Identifiers

PMID33193507
PMCPMC7604294
OpenAlexW3093875583

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.