Evidence map›Paper›PMID 37377788›Full record

ArticlePeerJ2023

Biostimulant red seaweed (

Md Abdul Mannan, Amir Yasmin, Umakanta Sarker, Nasimul Bari, Dipanjoli Baral Dola, Hirokazu Higuchi, Sezai Ercisli, Daoud Ali, Saud Alarifi

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2023. 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
12.7field-weighted citation impact, top 1% 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, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  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

9 authors at 4 institutions in 4 countries.

Md Abdul MannanDepartment of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.
Amir YasminDepartment of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.
Umakanta SarkerGenetics and Plant breeding, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.ORCID 0000-0002-6814-8816
Nasimul BariDepartment of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.
Dipanjoli Baral DolaDepartment of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh.
Hirokazu HiguchiGraduate School of Agriculture, Kyoto University, Kyoto, Japan.
Sezai ErcisliDepartment of Horticulture, Ataturk University, Erzurum, Turkey.
Daoud AliDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Saud AlarifiDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Gazipur Agricultural University · BDKing Saud University · SAAtatürk University · TRKyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought has a deleterious impact on the growth, physiology, and yield of various plants, including soybean. Seaweed extracts are rich in various bioactive compounds, including antioxidants, and can be used as biostimulants for improving yield and alleviating the adverse effect of drought stress. The purpose of this study was to evaluate the effect of soybean growth and yield with different concentrations (0.0%, 5.0%, and 10.0% v/v) of water extracts of the red seaweed

Indexed as

GracilariaRhodophytaSeaweedChlorophyllDrought ResistanceGlycine maxWaterChlorophyllWaterBiostimulantFoliar applicationGracilaria tenuistipitataSeaweed extractSoybeanStress toleranceYield

Identifiers

PMID37377788
PMCPMC10292196
OpenAlexW4381741578

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.