Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis
Determining how climate change affects aquatic organisms, such as fish is vital, since this could directly or indirectly impact food and protein sources that are important for human nutrition. Thus, identifying suitable organisms for studying the impacts of climate change on aquatic species is essen...
Published in: | Frontiers in Earth Science |
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2022
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2-s2.0-85138498360 Nor Azra M.; Mohd Noor M.I.; Pau Tan M.; Dawood M.; Amin M.; Zekker I.; Fuad Abdullah M.; Abd Latif Z.; Pardi F. Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis 2022 Frontiers in Earth Science 10 10.3389/feart.2022.988710 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138498360&doi=10.3389%2ffeart.2022.988710&partnerID=40&md5=f405b1a0f5424f8e62ef4495c536bed3 Determining how climate change affects aquatic organisms, such as fish is vital, since this could directly or indirectly impact food and protein sources that are important for human nutrition. Thus, identifying suitable organisms for studying the impacts of climate change on aquatic species is essential. It is most effective to select model organisms for climate change study and determine how each organism might adapt within the diversity of organisms present. This study aimed to review the current development and frontiers of climate change’s model organism based on the literature. We conducted a scientometric analysis by differentiating between publications on different model species, the number and origin of authors and affiliations involved, the citation analysis, and the most common keywords used. Increased publication numbers for Zebrafish and Medaka were detected during the analysis of the networks. Our results showed that both species are among the most important aquatic model organisms for climate change related research. Furthermore, we found that these model organisms, especially the Zebrafish are becoming increasingly important towards climate change related studies, because of their simple anatomy and established biological studies. Our analysis could be on the forefront for disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policymakers, and to the public worldwide for future contribution to the community resources preservation. Copyright © 2022 Nor Azra, Mohd Noor, Pau Tan, Dawood, Amin, Zekker, Fuad Abdullah, Abd Latif and Pardi. Frontiers Media S.A. 22966463 English Review All Open Access; Gold Open Access |
author |
Nor Azra M.; Mohd Noor M.I.; Pau Tan M.; Dawood M.; Amin M.; Zekker I.; Fuad Abdullah M.; Abd Latif Z.; Pardi F. |
spellingShingle |
Nor Azra M.; Mohd Noor M.I.; Pau Tan M.; Dawood M.; Amin M.; Zekker I.; Fuad Abdullah M.; Abd Latif Z.; Pardi F. Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
author_facet |
Nor Azra M.; Mohd Noor M.I.; Pau Tan M.; Dawood M.; Amin M.; Zekker I.; Fuad Abdullah M.; Abd Latif Z.; Pardi F. |
author_sort |
Nor Azra M.; Mohd Noor M.I.; Pau Tan M.; Dawood M.; Amin M.; Zekker I.; Fuad Abdullah M.; Abd Latif Z.; Pardi F. |
title |
Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
title_short |
Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
title_full |
Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
title_fullStr |
Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
title_full_unstemmed |
Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
title_sort |
Zebrafish and Medaka as model organisms for climate change research: Global literature scientometric analysis |
publishDate |
2022 |
container_title |
Frontiers in Earth Science |
container_volume |
10 |
container_issue |
|
doi_str_mv |
10.3389/feart.2022.988710 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138498360&doi=10.3389%2ffeart.2022.988710&partnerID=40&md5=f405b1a0f5424f8e62ef4495c536bed3 |
description |
Determining how climate change affects aquatic organisms, such as fish is vital, since this could directly or indirectly impact food and protein sources that are important for human nutrition. Thus, identifying suitable organisms for studying the impacts of climate change on aquatic species is essential. It is most effective to select model organisms for climate change study and determine how each organism might adapt within the diversity of organisms present. This study aimed to review the current development and frontiers of climate change’s model organism based on the literature. We conducted a scientometric analysis by differentiating between publications on different model species, the number and origin of authors and affiliations involved, the citation analysis, and the most common keywords used. Increased publication numbers for Zebrafish and Medaka were detected during the analysis of the networks. Our results showed that both species are among the most important aquatic model organisms for climate change related research. Furthermore, we found that these model organisms, especially the Zebrafish are becoming increasingly important towards climate change related studies, because of their simple anatomy and established biological studies. Our analysis could be on the forefront for disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policymakers, and to the public worldwide for future contribution to the community resources preservation. Copyright © 2022 Nor Azra, Mohd Noor, Pau Tan, Dawood, Amin, Zekker, Fuad Abdullah, Abd Latif and Pardi. |
publisher |
Frontiers Media S.A. |
issn |
22966463 |
language |
English |
format |
Review |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677891120660480 |