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| Registros recuperados : 168 | |
| Registros recuperados : 168 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
24/06/2024 |
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Data da última atualização: |
24/06/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MEDEIROS, B. M.; ROSSI(, L. S.; CATEN, A. T.; PEREIRA, G. E.; SILVA, E. B.; DABOIT, K. T. U. |
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Título: |
Soil legacy data: An opportunity for digital soil mapping. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Revista Brasileira de Ciência do Solo, Viçosa, MG, v. 48, p. 1-18, 2024. |
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Idioma: |
Inglês |
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Conteúdo: |
Soil legacy data is past information on soils available from various sources
(e.g. survey reports and maps). When compiled and organized, data obtained through
historical retrieval can be used as basic input or validation data for digital soil mapping.
A bibliometric analysis of this topic can reveal research patterns, evolution, and scientific
contribution, thus mapping the science produced in a specific period and determining the
trend in research topics based on search terms. This article presents the characterization
of international scientific production on soil legacy data using a set of bibliometric
indicators. The study was developed with the bibliometric analysis of scientific articles
indexed in the Web of Science and Scopus data platforms regarding the use of soil
legacy data published online from 1979 to 2022. The following were extracted from the
articles: authors and co-authors, year and country of publication, index words used,
and abstracts, which were submitted to bibliometric analysis in R. Bibliometric analysis
revealed publication of 242 scientific articles in 117 journals involving 1223 authors
throughout the world in the last 43 years, with an average frequency of 12.66 citations
per article. Australia (10.33 %), the USA (8.68 %), and Brazil (7.85 %) were the countries
with the greatest scientific contributions. The most cited studies refer to databases,
demonstrating the ease of access to information contributes significantly to new local
studies. Due to pedometrics importance for soil science, there is constant revision to
available legacy data for new hypotheses and research in soil science. And also, for the
monitoring of soil attributes for the conservation and preservation of natural resources. MenosSoil legacy data is past information on soils available from various sources
(e.g. survey reports and maps). When compiled and organized, data obtained through
historical retrieval can be used as basic input or validation data for digital soil mapping.
A bibliometric analysis of this topic can reveal research patterns, evolution, and scientific
contribution, thus mapping the science produced in a specific period and determining the
trend in research topics based on search terms. This article presents the characterization
of international scientific production on soil legacy data using a set of bibliometric
indicators. The study was developed with the bibliometric analysis of scientific articles
indexed in the Web of Science and Scopus data platforms regarding the use of soil
legacy data published online from 1979 to 2022. The following were extracted from the
articles: authors and co-authors, year and country of publication, index words used,
and abstracts, which were submitted to bibliometric analysis in R. Bibliometric analysis
revealed publication of 242 scientific articles in 117 journals involving 1223 authors
throughout the world in the last 43 years, with an average frequency of 12.66 citations
per article. Australia (10.33 %), the USA (8.68 %), and Brazil (7.85 %) were the countries
with the greatest scientific contributions. The most cited studies refer to databases,
demonstrating the ease of access to information contributes significantly to new local
studies. Due ... Mostrar Tudo |
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Thesagro: |
bibliometric analysis; pedometrics; scientometrics; soil survey. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02409naa a2200229 a 4500
001 1134607
005 2024-06-24
008 2024 bl uuuu u00u1 u #d
100 1 $aMEDEIROS, B. M.
245 $aSoil legacy data$bAn opportunity for digital soil mapping.$h[electronic resource]
260 $c2024
520 $aSoil legacy data is past information on soils available from various sources (e.g. survey reports and maps). When compiled and organized, data obtained through historical retrieval can be used as basic input or validation data for digital soil mapping. A bibliometric analysis of this topic can reveal research patterns, evolution, and scientific contribution, thus mapping the science produced in a specific period and determining the trend in research topics based on search terms. This article presents the characterization of international scientific production on soil legacy data using a set of bibliometric indicators. The study was developed with the bibliometric analysis of scientific articles indexed in the Web of Science and Scopus data platforms regarding the use of soil legacy data published online from 1979 to 2022. The following were extracted from the articles: authors and co-authors, year and country of publication, index words used, and abstracts, which were submitted to bibliometric analysis in R. Bibliometric analysis revealed publication of 242 scientific articles in 117 journals involving 1223 authors throughout the world in the last 43 years, with an average frequency of 12.66 citations per article. Australia (10.33 %), the USA (8.68 %), and Brazil (7.85 %) were the countries with the greatest scientific contributions. The most cited studies refer to databases, demonstrating the ease of access to information contributes significantly to new local studies. Due to pedometrics importance for soil science, there is constant revision to available legacy data for new hypotheses and research in soil science. And also, for the monitoring of soil attributes for the conservation and preservation of natural resources.
650 $abibliometric analysis
650 $apedometrics
650 $ascientometrics
650 $asoil survey
700 1 $aROSSI(, L. S.
700 1 $aCATEN, A. T.
700 1 $aPEREIRA, G. E.
700 1 $aSILVA, E. B.
700 1 $aDABOIT, K. T. U.
773 $tRevista Brasileira de Ciência do Solo, Viçosa, MG$gv. 48, p. 1-18, 2024.
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