Evidence map›Paper›PMID 36980883›Full record

ArticleGenes2023

Identification and Characterization of Phytocyanin Family Genes in Cotton Genomes.

Muhammad Bilal Tufail, Muhammad Yasir, Dongyun Zuo, Hailiang Cheng, Mushtaque Ali, Abdul Hafeez, Mahtab Soomro, Guoli Song

Open access · goldFull text read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.8field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Genetic Dynamics of Allotetraploid Cotton Species (Plants (Basel, Switzerland) · 2026
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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

8 authors at 3 institutions in 2 countries.

Muhammad Bilal TufailState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Muhammad YasirThe Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province, College of Advanced Agricultural Sciences, Zhejiang A&F University, Hangzhou 311300, China.
Dongyun ZuoState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Hailiang ChengState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Mushtaque AliState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, China.ORCID 0000-0002-9904-8949
Abdul HafeezDepartment of Agronomy, Sindh Agriculture University Campus Umerkot, Sindh 69100, Pakistan.
Mahtab SoomroState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Guoli SongState Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang 455000, China.
Cotton Research Institute · CNSindh Agriculture University · PKZhejiang A & F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phytocyanins (PCs) are a class of plant-specific blue copper proteins that have been demonstrated to play a role in electron transport and plant development. Through analysis of the copper ligand residues, spectroscopic properties, and domain architecture of the protein, PCs have been grouped into four subfamilies: uclacyanins (UCs), stellacyanins (SCs), plantacyanins (PLCs), and early nodulin-like proteins (ENODLs). The present study aimed to identify and characterise the PCs present in three distinct cotton species (

Indexed as

CopperGossypiumCotton FiberGenome, PlantSequence AlignmentCoppercottonfibregene expression profilephytocyanins (PCs)

Identifiers

PMID36980883
PMCPMC10048054
OpenAlexW4322627673

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read7
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.