Evidence map›Paper›PMID 35058953›Full record

ArticleFrontiers in plant science2021

A Mathematical Model for Characterizing the Biomass and the Physiological/Biochemical Indicators of

Ke Wang, Zhu-Yun Yan, Yuntong Ma, Bo Li, Wei Wang, Luming Qi, Hongmei Jia, Na Li, Zhun Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Frontiers in pharmacology · 2025
    Review
  3. Article
  4. 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

9 authors at 4 institutions in 1 country.

Ke WangSchool of Big Data and Artificial Intelligence, Chengdu Technological University, Chengdu, China.
Zhu-Yun YanSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Yuntong MaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Bo LiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Wei WangSchool of Big Data and Artificial Intelligence, Chengdu Technological University, Chengdu, China.
Luming QiSchool of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Hongmei JiaSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Na LiSchool of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhun WangTCM Health Industrial Technology Institute of Traditional Chinese Medicine, Chengdu, China.
Chengdu University of Traditional Chinese Medicine · CNChengdu Technological UniversityQingdao University of Technology · CNSecond Affiliated Hospital of Chengdu University of Traditional Chinese · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbon(C) and nitrogen(N) metabolisms are important for plant growth and defense, and enzymes play a major role in these two metabolisms. Current studies show that the enzymes of N Metabolism, C Metabolism, and defense are correlated with biomass. Then, we conducted this research under the assumption that enzymes could characterize the relationship based on growth-defense tradeoff, and some of the enzymes could be used to represent the plant growth. From the mechanism model, we picked out 18 physiological/biochemical indicators and obtained the data from 24 tissue culture seedlings of

Indexed as

biomassenzyme activitiesgrowth-defense tradeoffmathematical modelSalvia miltiorrhiza

Identifiers

PMID35058953
PMCPMC8763974
OpenAlexW4206428725

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.