Home > Publications database > EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients > print |
001 | 169813 | ||
005 | 20240229133656.0 | ||
024 | 7 | _ | |a 10.3389/fimmu.2021.634416 |2 doi |
024 | 7 | _ | |a altmetric:108058917 |2 altmetric |
024 | 7 | _ | |a pmid:34248931 |2 pmid |
037 | _ | _ | |a DKFZ-2021-01567 |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Luft, Thomas |b 0 |
245 | _ | _ | |a EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients |
260 | _ | _ | |a Lausanne |c 2021 |b Frontiers Media |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1626251682_14905 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
536 | _ | _ | |a 313 - Krebsrisikofaktoren und Prävention (POF4-313) |0 G:(DE-HGF)POF4-313 |c POF4-313 |x 0 |f POF IV |
588 | _ | _ | |a Dataset connected to CrossRef, Journals: inrepo01.inet.dkfz-heidelberg.de |
700 | 1 | _ | |a Wendtner, Clemens-Martin |b 1 |
700 | 1 | _ | |a Kosely, Florentina |b 2 |
700 | 1 | _ | |a Radujkovic, Aleksandar |b 3 |
700 | 1 | _ | |a Benner, Axel |0 P:(DE-He78)e15dfa1260625c69d6690a197392a994 |b 4 |u dkfz |
700 | 1 | _ | |a Korell, Felix |b 5 |
700 | 1 | _ | |a Kihm, Lars |b 6 |
700 | 1 | _ | |a Bauer, Matthias F. |b 7 |
700 | 1 | _ | |a Dreger, Peter |b 8 |
700 | 1 | _ | |a Merle, Uta |b 9 |
773 | _ | _ | |a 10.3389/fimmu.2021.634416 |g Vol. 12, p. 634416 |0 PERI:(DE-600)2606827-8 |p 634416 |t Frontiers in immunology |v 12 |y 2021 |x 1664-3224 |
909 | C | O | |o oai:inrepo02.dkfz.de:169813 |p VDB |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 4 |6 P:(DE-He78)e15dfa1260625c69d6690a197392a994 |
913 | 0 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-313 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-300 |4 G:(DE-HGF)POF |v Cancer risk factors and prevention |x 0 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-313 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Krebsrisikofaktoren und Prävention |x 0 |
914 | 1 | _ | |y 2021 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b FRONT IMMUNOL : 2019 |d 2021-01-29 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |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 DBCoverage |0 StatID:(DE-HGF)0501 |2 StatID |b DOAJ Seal |d 2021-01-29 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0500 |2 StatID |b DOAJ |d 2021-01-29 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b DOAJ : Blind peer review |d 2021-01-29 |
915 | _ | _ | |a Creative Commons Attribution CC BY (No Version) |0 LIC:(DE-HGF)CCBYNV |2 V:(DE-HGF) |b DOAJ |d 2021-01-29 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2021-01-29 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |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 DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2021-01-29 |
915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b FRONT IMMUNOL : 2019 |d 2021-01-29 |
915 | _ | _ | |a Article Processing Charges |0 StatID:(DE-HGF)0561 |2 StatID |d 2021-01-29 |
915 | _ | _ | |a Fees |0 StatID:(DE-HGF)0700 |2 StatID |d 2021-01-29 |
920 | 1 | _ | |0 I:(DE-He78)C060-20160331 |k C060 |l C060 Biostatistik |x 0 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)C060-20160331 |
980 | _ | _ | |a UNRESTRICTED |
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