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Data standards can boost metabolomics research, and if there is a will, there is a way
scientific article
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instance of
scholarly article
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title
Data standards can boost metabolomics research, and if there is a will, there is a way
(English)
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main subject
clinical chemistry
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data standard
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data sharing
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metabolomics
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based on heuristic
inferred from title
author
Alejandra González-Beltrán
series ordinal
6
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Philippe Rocca-Serra
series ordinal
1
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Janna Hastings
series ordinal
9
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Christoph Steinbeck
series ordinal
17
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Steffen Neumann
series ordinal
19
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Susanna-Assunta Sansone
series ordinal
14
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Masanori Arita
series ordinal
3
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Reza M. Salek
series ordinal
2
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Kenneth Haug
series ordinal
10
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Matej Oresic
series ordinal
13
stated as
Matej Oresic
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Tim Ebbels
series ordinal
7
stated as
Tim Ebbels
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Daniel Schober
stated as
Daniel Schober
series ordinal
15
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Albert Koulman
stated as
Albert Koulman
series ordinal
11
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Royston Goodacre
series ordinal
8
stated as
Royston Goodacre
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James Smith
stated as
James Smith
series ordinal
16
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Mark R. Viant
series ordinal
18
stated as
Mark R Viant
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author name string
Elon Correa
series ordinal
4
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Saravanan Dayalan
series ordinal
5
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Tim Ebbels
series ordinal
7
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Macha Nikolski
series ordinal
12
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language of work or name
English
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publication date
2016
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stated in
PubMed
published in
Metabolomics
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volume
12
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page(s)
14
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issue
1
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exact match
https://scigraph.springernature.com/pub.10.1007/s11306-015-0879-3
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cites work
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Identifiers
DOI
10.1007/S11306-015-0879-3
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
2606751
Dimensions Publication ID
1039288385
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OpenCitations bibliographic resource ID
2606751
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
2606751
PMCID
4648992
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
2606751
PubMed ID
26612985
1 reference
stated in
Consolidated OpenCitations Corpus – April 2017
OpenCitations bibliographic resource ID
2606751
ResearchGate publication ID
284162865
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