Study on themes and authors' influence of open access in China
Identifieur interne :
000005 ( PascalFrancis/Corpus );
précédent :
000004;
suivant :
000006
Study on themes and authors' influence of open access in China
Auteurs : RONGYING ZHAO ;
SHENGNAN WUSource :
-
Scientometrics : (Print) [ 0138-9130 ] ; 2014.
RBID : Pascal:14-0270426
Descripteurs français
English descriptors
Abstract
Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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| A09 | 01 | 1 | ENG | @1 Selected Papers of the 14th International Conference of the International Society for Scientometrics and Informetrics (ISSI), July 15-19, 2013, Vienna, Austria |
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| A11 | 02 | 1 | | @1 SHENGNAN WU |
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| A12 | 01 | 1 | | @1 GORRAIZ (Juan) @9 ed. |
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| A12 | 02 | 1 | | @1 GUMPENBERGER (Christian) @9 ed. |
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| A12 | 03 | 1 | | @1 HÖRLESBERGER (Marianne) @9 ed. |
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| A12 | 04 | 1 | | @1 MOED (Henk) @9 ed. |
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| A12 | 05 | 1 | | @1 SCHIEBEL (Edgar) @9 ed. |
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| A14 | 01 | | | @1 Research Center for Science Evaluation of Wuhan University @2 Wuhan @3 CHN @Z 1 aut. |
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| A14 | 02 | | | @1 Center for Studies of Information Resources of Wuhan University @2 Wuhan @3 CHN @Z 1 aut. @Z 2 aut. |
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| A14 | 03 | | | @1 School of Information Management, Wuhan University @2 Wuhan 430072 @3 CHN @Z 1 aut. @Z 2 aut. |
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| A15 | 01 | | | @1 Library and Archive Services, Bibliometrics Department, University of Vienna, Boltzmanngasse 5 @2 1090 Vienna @3 AUT @Z 1 aut. @Z 2 aut. |
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| A15 | 02 | | | @1 AIT Austrian Institute of Technology GmbH, Tech Gate Vienna, Donau-City-Strasse 1 @2 1220 Vienna @3 AUT @Z 3 aut. @Z 5 aut. |
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| C01 | 01 | | ENG | @0 Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end. |
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| C03 | 01 | X | SPA | @0 Análisis coocurrencia @2 NI @5 04 |
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| C03 | 02 | X | FRE | @0 Amas @5 05 |
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| C03 | 02 | X | ENG | @0 Cluster @5 05 |
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| C03 | 02 | X | SPA | @0 Montón @5 05 |
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| C03 | 03 | X | FRE | @0 Analyse mots associés @5 06 |
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| C03 | 03 | X | ENG | @0 Coword analysis @5 06 |
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| C03 | 03 | X | SPA | @0 Análisis palabras asociadas @5 06 |
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Format Inist (serveur)
| NO : | PASCAL 14-0270426 INIST |
|---|
| ET : | Study on themes and authors' influence of open access in China |
|---|
| AU : | RONGYING ZHAO; SHENGNAN WU; GORRAIZ (Juan); GUMPENBERGER (Christian); HÖRLESBERGER (Marianne); MOED (Henk); SCHIEBEL (Edgar) |
|---|
| AF : | Research Center for Science Evaluation of Wuhan University/Wuhan/Chine (1 aut.); Center for Studies of Information Resources of Wuhan University/Wuhan/Chine (1 aut., 2 aut.); School of Information Management, Wuhan University/Wuhan 430072/Chine (1 aut., 2 aut.); Library and Archive Services, Bibliometrics Department, University of Vienna, Boltzmanngasse 5/1090 Vienna/Autriche (1 aut., 2 aut.); AIT Austrian Institute of Technology GmbH, Tech Gate Vienna, Donau-City-Strasse 1/1220 Vienna/Autriche (3 aut., 5 aut.); Elsevier B.V., Radarweg 29/1043 NX Amsterdam/Pays-Bas (4 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
|---|
| SO : | Scientometrics : (Print); ISSN 0138-9130; Coden SCNTDX; Pays-Bas; Da. 2014; Vol. 101; No. 2; Pp. 1165-1177; Bibl. 1/2 p. |
|---|
| LA : | Anglais |
|---|
| EA : | Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end. |
|---|
| CC : | 001A01A02 |
|---|
| FD : | Analyse cooccurrence; Amas; Analyse mots associés; Couplage; Analyse corrélation; Recherche scientifique; Mot associé |
|---|
| ED : | Cooccurrence analysis; Cluster; Coword analysis; Coupling; Correlation analysis; Scientific research; Coword |
|---|
| SD : | Análisis coocurrencia; Montón; Análisis palabras asociadas; Acoplamiento; Análisis correlación; Investigación científica |
|---|
| LO : | INIST-19049.354000504566570150 |
|---|
| ID : | 14-0270426 |
|---|
Links to Exploration step
Pascal:14-0270426
Le document en format XML
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<ET>Study on themes and authors' influence of open access in China</ET>
<AU>RONGYING ZHAO; SHENGNAN WU; GORRAIZ (Juan); GUMPENBERGER (Christian); HÖRLESBERGER (Marianne); MOED (Henk); SCHIEBEL (Edgar)</AU>
<AF>Research Center for Science Evaluation of Wuhan University/Wuhan/Chine (1 aut.); Center for Studies of Information Resources of Wuhan University/Wuhan/Chine (1 aut., 2 aut.); School of Information Management, Wuhan University/Wuhan 430072/Chine (1 aut., 2 aut.); Library and Archive Services, Bibliometrics Department, University of Vienna, Boltzmanngasse 5/1090 Vienna/Autriche (1 aut., 2 aut.); AIT Austrian Institute of Technology GmbH, Tech Gate Vienna, Donau-City-Strasse 1/1220 Vienna/Autriche (3 aut., 5 aut.); Elsevier B.V., Radarweg 29/1043 NX Amsterdam/Pays-Bas (4 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
<SO>Scientometrics : (Print); ISSN 0138-9130; Coden SCNTDX; Pays-Bas; Da. 2014; Vol. 101; No. 2; Pp. 1165-1177; Bibl. 1/2 p.</SO>
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<EA>Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end.</EA>
<CC>001A01A02</CC>
<FD>Analyse cooccurrence; Amas; Analyse mots associés; Couplage; Analyse corrélation; Recherche scientifique; Mot associé</FD>
<ED>Cooccurrence analysis; Cluster; Coword analysis; Coupling; Correlation analysis; Scientific research; Coword</ED>
<SD>Análisis coocurrencia; Montón; Análisis palabras asociadas; Acoplamiento; Análisis correlación; Investigación científica</SD>
<LO>INIST-19049.354000504566570150</LO>
<ID>14-0270426</ID>
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