Evidence map›Paper›PMID 39487341›Full record

ArticleWorld journal of microbiology & biotechnology2024

Phosphate-solubilizing fungus (PSF) - mediated phosphorous solubilization and validation through Artificial intelligence computation.

Fatih Ölmez, Zemran Mustafa, Şahimerdan Türkölmez, Aslıhan Esra Bildirici, Seyid Amjad Ali, Muhammad Aasim

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. A new species ofPeerJ · 2026
    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

6 authors.

Fatih ÖlmezDepartment of Plant Protection, Faculty of Agricultural Sciences and Technology, Sivas University of Science and Technology, Sivas, Turkey.
Zemran MustafaDepartment of Plant Production and Technologies, Faculty of Agricultural Sciences and Technology, Sivas University of Science and Technology, Sivas, Turkey.
Şahimerdan TürkölmezDepartment of Plant Protection, GAP Agricultural Research Institute, Şanlıurfa, Turkey.
Aslıhan Esra BildiriciSivas University of Science and Technology, Sivas, Turkey.
Seyid Amjad AliDepartment of Information Systems and Technologies, Bilkent University, Ankara, Turkey.
Muhammad AasimDepartment of Plant Protection, Faculty of Agricultural Sciences and Technology, Sivas University of Science and Technology, Sivas, Turkey. mshazim@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphate-solubilizing fungus (PSF) strain alaromyces funiculosus was investigated for phosphorus solubilization, utilizing a range of pH levels and phosphate sources, followed by data confirmation through artificial intelligence modeling. T. funiculosus strain was exposed to five different phosphate sources [Ca

Indexed as

Artificial IntelligencePhosphatesPhosphorusSolubilityHydrogen-Ion ConcentrationPhosphatesPhosphorusArtificial intelligenceMachine learningpHphosphorousTalaromyces funiculosus

Identifiers

PMID39487341

What OpenQuestion holds

Textmetadata
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.