Hauptseite > Publikationsdatenbank > Personalized mulit-scale brain model identifies key neurotransmitter receptor alterations in Alzheimer's Disease progession > print

001     897097
005     20210924140631.0
024 7 _ |a 2128/28694
|2 Handle
037 _ _ |a FZJ-2021-03596
082 _ _ |a 610
100 1 _ |a Khan, A. F.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Personalized mulit-scale brain model identifies key neurotransmitter receptor alterations in Alzheimer's Disease progession
260 _ _ |a Oxford
|c 2021
|b Oxford Univ. Press
336 7 _ |a Preprint
|b preprint
|m preprint
|0 PUB:(DE-HGF)25
|s 1632481089_765
|2 PUB:(DE-HGF)
336 7 _ |a WORKING_PAPER
|2 ORCID
336 7 _ |a Electronic Article
|0 28
|2 EndNote
336 7 _ |a preprint
|2 DRIVER
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a Output Types/Working Paper
|2 DataCite
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
|0 G:(DE-HGF)POF4-5251
|c POF4-525
|f POF IV
|x 0
536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|x 1
536 _ _ |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)
|0 G:(EU-Grant)785907
|c 785907
|f H2020-SGA-FETFLAG-HBP-2017
|x 2
700 1 _ |a Adewale, Q.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Baumeister, T. R.
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Carbonell, F.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Zilles, Karl
|0 P:(DE-Juel1)131714
|b 4
700 1 _ |a Palomero-Gallagher, Nicola
|0 P:(DE-Juel1)131701
|b 5
|u fzj
700 1 _ |a Iturria-Medina, Y.
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Initiative, Alzheimer's Disease Neuroimaging
|0 P:(DE-HGF)0
|b 7
|e Collaboration author
773 _ _ |y 2021
|0 PERI:(DE-600)1474117-9
|t Brain
|x 0006-8950
856 4 _ |u https://juser.fz-juelich.de/record/897097/files/Khan_etal_Receptor_MCM_Preprint.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:897097
|p openaire
|p open_access
|p driver
|p VDB
|p ec_fundedresources
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)131701
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-525
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Decoding Brain Organization and Dysfunction
|9 G:(DE-HGF)POF4-5251
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2021-01-29
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BRAIN : 2019
|d 2021-01-29
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b BRAIN : 2019
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2021-01-29
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-01-29
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2021-01-29
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
|d 2021-01-29
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2021-01-29
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2021-01-29
920 1 _ |0 I:(DE-Juel1)INM-1-20090406
|k INM-1
|l Strukturelle und funktionelle Organisation des Gehirns
|x 0
980 1 _ |a FullTexts
980 _ _ |a preprint
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)INM-1-20090406

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21