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Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis
Because the Amazon rain forest is ecologically relevant on a global scale, we applied scientometric techniques to integrate studies dealing with mercury research in this unique ecosystem between 1991 and 2017. Using a combination of co-authorship and co-citation analyses, keyword mapping and overlay...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479522/ https://www.ncbi.nlm.nih.gov/pubmed/30925692 http://dx.doi.org/10.3390/ijerph16071111 |
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author | Moraes Pinto, Lilian de C. Dórea, José G. Bernardi, José Vicente Elias Gomes, Leonardo Fernandes |
author_facet | Moraes Pinto, Lilian de C. Dórea, José G. Bernardi, José Vicente Elias Gomes, Leonardo Fernandes |
author_sort | Moraes Pinto, Lilian de C. |
collection | PubMed |
description | Because the Amazon rain forest is ecologically relevant on a global scale, we applied scientometric techniques to integrate studies dealing with mercury research in this unique ecosystem between 1991 and 2017. Using a combination of co-authorship and co-citation analyses, keyword mapping and overlay visualization of topics in the field, this article identified three major areas in the 26-year period of mercury research: (1) human exposure to mercury (artisanal small-scale gold mining-ASGM) and methylmercury through fish consumption, and their respective risks for human health; (2) mercury accumulation in the environment and its relation to ASGM and atmospheric concentration; and (3) mercury geochemistry and its presence in soils, sediments, and water. The paper also identified the leading institutions related to the published research and respective influential scholars in the context of this study. Overall, the analyses revealed patterns of convergence and divergence between authors, specialization, and interdisciplinary engagement in mercury investigation, thus highlighting strengths and weaknesses of research topics in the field. This scientometric approach could be a useful tool to monitor/assess the implementation of the Minamata Convention. |
format | Online Article Text |
id | pubmed-6479522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64795222019-04-29 Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis Moraes Pinto, Lilian de C. Dórea, José G. Bernardi, José Vicente Elias Gomes, Leonardo Fernandes Int J Environ Res Public Health Article Because the Amazon rain forest is ecologically relevant on a global scale, we applied scientometric techniques to integrate studies dealing with mercury research in this unique ecosystem between 1991 and 2017. Using a combination of co-authorship and co-citation analyses, keyword mapping and overlay visualization of topics in the field, this article identified three major areas in the 26-year period of mercury research: (1) human exposure to mercury (artisanal small-scale gold mining-ASGM) and methylmercury through fish consumption, and their respective risks for human health; (2) mercury accumulation in the environment and its relation to ASGM and atmospheric concentration; and (3) mercury geochemistry and its presence in soils, sediments, and water. The paper also identified the leading institutions related to the published research and respective influential scholars in the context of this study. Overall, the analyses revealed patterns of convergence and divergence between authors, specialization, and interdisciplinary engagement in mercury investigation, thus highlighting strengths and weaknesses of research topics in the field. This scientometric approach could be a useful tool to monitor/assess the implementation of the Minamata Convention. MDPI 2019-03-28 2019-04 /pmc/articles/PMC6479522/ /pubmed/30925692 http://dx.doi.org/10.3390/ijerph16071111 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Moraes Pinto, Lilian de C. Dórea, José G. Bernardi, José Vicente Elias Gomes, Leonardo Fernandes Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis |
title | Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis |
title_full | Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis |
title_fullStr | Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis |
title_full_unstemmed | Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis |
title_short | Mapping the Evolution of Mercury (Hg) Research in the Amazon (1991–2017): A Scientometric Analysis |
title_sort | mapping the evolution of mercury (hg) research in the amazon (1991–2017): a scientometric analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479522/ https://www.ncbi.nlm.nih.gov/pubmed/30925692 http://dx.doi.org/10.3390/ijerph16071111 |
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