Evidence map›Paper›PMID 38595808›Full record

ArticleMethodsX2024

Metabolomics-based analysis of the diatom

Afrah Alothman, Abdul-Hamid Emwas, Upendra Singh, Mariusz Jaremko, Susana Agusti

Open access · goldAbstract read
In one paragraph

Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Afrah AlothmanKing Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Marine Science Program, Thuwal, 23955-6900, Saudi Arabia.
Abdul-Hamid EmwasKing Abdullah University of Science and Technology (KAUST), Core Labs, Thuwal, 23955-6900, Saudi Arabia.
Upendra SinghKing Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Thuwal, 23955-6900, Saudi Arabia.
Mariusz JaremkoKing Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Thuwal, 23955-6900, Saudi Arabia.
Susana AgustiKing Abdullah University of Science and Technology (KAUST), Biological and Environmental and Science and Engineering, Marine Science Program, Thuwal, 23955-6900, Saudi Arabia.
King Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolomics, a recent addition to omics sciences, studies small molecules across plants, animals, humans, and marine organisms. Nuclear magnetic resonance (NMR) and gas chromatography-mass spectrometry (GC-MS) are widely used in those studies, including microalgae metabolomics. NMR is non-destructive and highly reproducible but has limited sensitivity, which could be supplemented by joining GC-MS analysis. Extracting metabolites from macromolecules requires optimization for trustworthy results. Different extraction methods yield distinct profiles, emphasizing the need for optimization. The results indicated that the optimized extraction procedure successfully identified NMR and GC-MS-based metabolites in MeOH, CHCl

Indexed as

DiatomsExtractionGC–MSMetabolites profilingMetabolomicsMicroalgaeNMROptimizing extraction procedure and combining NMR with GC–MS techniques for comprehensive metabolome analysis of microalgae

Identifiers

PMID38595808
PMCPMC11001764
OpenAlexW4393857701

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.