Evidence map›Paper›PMID 39619925›Full record

ReviewVeterinary world2024

Fish diversity assessment through conventional morphological identification and recent advances in Saudi Arabia: A review.

Muhammad Browijoyo Santanumurti, Muhammad Ar Rozzaaq Nugraha, Novi Rosmala Dewi, Muhammad Awaluddin, Pei Wen Tang, Helen Indah Pardede, Lafi Al Solami, Laksmi Sulmartiwi, Mohamed Ahmed Abu El-Regal

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In one paragraph

Review in Veterinary world, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Muhammad Browijoyo SantanumurtiDepartment of Aquaculture, Faculty of Fisheries and Marine, Universitas Airlangga, Surabaya, 60115, Indonesia.
Muhammad Ar Rozzaaq NugrahaDepartment of Aquaculture, National Taiwan Ocean University, Keelung, 20224, Taiwan, ROC.
Novi Rosmala DewiDepartment of Aquaculture, National Taiwan Ocean University, Keelung, 20224, Taiwan, ROC.
Muhammad AwaluddinDepartment of Aquaculture, National Taiwan Ocean University, Keelung, 20224, Taiwan, ROC.
Pei Wen TangDepartment of Aquaculture, National Taiwan Ocean University, Keelung, 20224, Taiwan, ROC.
Helen Indah PardedeDepartment of Bioscience and Biotechnology, National Taiwan Ocean University, Keelung, 20224, Taiwan, ROC.
Lafi Al SolamiDepartment of Marine Biology, Faculty of Marine Sciences, King Abdulaziz University, Jeddah, 21589, Kingdom of Saudi Arabia.
Laksmi SulmartiwiDepartment of Marine, Faculty of Fisheries and Marine, Universitas Airlangga, Surabaya, 60115, Indonesia.
Mohamed Ahmed Abu El-RegalDepartment of Marine Biology, Faculty of Marine Sciences, King Abdulaziz University, Jeddah, 21589, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish identification in the Red Sea, particularly in Saudi Arabia, has a long history. Because of the vast fish diversity in Saudi Arabia, proper species identification is required. Indeed, identifying fish species is critical for biodiversity conservation, food and drug safety, and sustainable fishery management. Numerous approaches have been used to identify fish species, including conventional morphological identification, next-generation sequencing (NGS), nanopore sequencing, DNA barcoding, and environmental DNA analysis. In this review, we collected as much scientific information as possible on species identification in Saudi Arabia. Our findings suggest that the identification process has advanced and spread rapidly and broadly, as evidenced by the discovery of new fish species in Saudi Arabia. The advantages and disadvantages of each method were discussed as part of a comprehensive comparison. This study aimed to provide further scientific knowledge to promote the growth of fish diversity worldwide.

Indexed as

fish diversityidentification processSaudi Arabia

Identifiers

PMID39619925
PMCPMC11606295

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Registered trials

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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.