PUBLICATION DATE

2013-02-27

AUTHORS

Yongfeng Zhong, Ping Zhou, Meigen Yu

TITLE

A bibliometric investigation on China–UK collaboration in food and agriculture

ISSUE

2

VOLUME

97

ISSN (print)

0138-9130

ISSN (electronic)

1588-2861

ABSTRACT

Based on data from the Web of Science, international collaboration between China and the UK in food and agriculture has been investigated from various perspectives. A new method for classifying cross- or multi-disciplinary fields has been created. The comparative study focuses on China’s collaboration with selected countries including the USA, the UK, Germany and Japan. The newly proposed Integrated Impact Indicator (I3) is applied to evaluate publication impact. Although China’s total publications dropped in 2010, its research productivity in food and agriculture nevertheless kept growing and international collaboration, reflected by the number of publications, also increased in an exponential way. The growth rate of China’s internationally collaborated publications was lower than that of China’s total publications. The USA, Japan, Canada, Australia, the UK and Germany are the top partners for Chinese researchers in this field. China-UK joint publications overall increased although their share in China’s total internationally collaborated publications decreased. To China, collaborating with the USA, the UK and Germany, instead of Japan, seems to offer an option to raise impact. The rapidly growing number of international publications and impact of Chinese research in food and agriculture offers great collaboration potential for the country. The fact that the average impact of China-UK collaborative publications is higher than the domestic publications of either country implies that collaboration benefits both sides as has been found in several other studies.

How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

Download the RDF metadata as:   json-ld nt turtle xml License info


37 TRIPLES      30 PREDICATES      37 URIs      21 LITERALS

Subject Predicate Object
1 articles:871012b81ca437ea3326023271bfd88d sg:abstract Abstract Based on data from the Web of Science, international collaboration between China and the UK in food and agriculture has been investigated from various perspectives. A new method for classifying cross- or multi-disciplinary fields has been created. The comparative study focuses on China’s collaboration with selected countries including the USA, the UK, Germany and Japan. The newly proposed Integrated Impact Indicator (I3) is applied to evaluate publication impact. Although China’s total publications dropped in 2010, its research productivity in food and agriculture nevertheless kept growing and international collaboration, reflected by the number of publications, also increased in an exponential way. The growth rate of China’s internationally collaborated publications was lower than that of China’s total publications. The USA, Japan, Canada, Australia, the UK and Germany are the top partners for Chinese researchers in this field. China-UK joint publications overall increased although their share in China’s total internationally collaborated publications decreased. To China, collaborating with the USA, the UK and Germany, instead of Japan, seems to offer an option to raise impact. The rapidly growing number of international publications and impact of Chinese research in food and agriculture offers great collaboration potential for the country. The fact that the average impact of China-UK collaborative publications is higher than the domestic publications of either country implies that collaboration benefits both sides as has been found in several other studies.
2 sg:articleType OriginalPaper
3 sg:coverYear 2013
4 sg:coverYearMonth 2013-11
5 sg:ddsId s11192-012-0947-7
6 sg:ddsIdJournalBrand 11192
7 sg:doi 10.1007/s11192-012-0947-7
8 sg:doiLink http://dx.doi.org/10.1007/s11192-012-0947-7
9 sg:hasContributingOrganization grid-institutes:grid.13402.34
10 grid-institutes:grid.411527.4
11 grid-institutes:grid.464365.6
12 sg:hasContribution contributions:4e3914dce8ed24675df37d9833612787
13 contributions:623d3c16b96469455d712a7a7997aa79
14 contributions:7ed2d1052d54b6af4fd4a3c83f90c18a
15 sg:hasFieldOfResearchCode anzsrc-for:21
16 anzsrc-for:2103
17 sg:hasJournal journals:52e9194f6a5ba807b887b394c80bba14
18 journals:f967d977da2f5a2d7d937b34a7a8a19f
19 sg:hasJournalBrand journal-brands:d36ecfe2c219293e5bdefce4bf27df63
20 sg:indexingDatabase Scopus
21 Web of Science
22 sg:issnElectronic 1588-2861
23 sg:issnPrint 0138-9130
24 sg:issue 2
25 sg:language English
26 sg:license http://scigraph.springernature.com/explorer/license/
27 sg:pageEnd 285
28 sg:pageStart 267
29 sg:publicationDate 2013-02-27
30 sg:publicationYear 2013
31 sg:publicationYearMonth 2013-02
32 sg:scigraphId 871012b81ca437ea3326023271bfd88d
33 sg:title A bibliometric investigation on China–UK collaboration in food and agriculture
34 sg:volume 97
35 sg:webpage https://link.springer.com/10.1007/s11192-012-0947-7
36 rdf:type sg:Article
37 rdfs:label Article: A bibliometric investigation on China–UK collaboration in food and agriculture
HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular JSON format for linked data.

curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/articles/871012b81ca437ea3326023271bfd88d'

N-Triples is a line-based linked data format ideal for batch operations .

curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/articles/871012b81ca437ea3326023271bfd88d'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/articles/871012b81ca437ea3326023271bfd88d'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/articles/871012b81ca437ea3326023271bfd88d'






Preview window. Press ESC to close (or click here)


...