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Träfflista för sökning "WFRF:(Waltman Peter) "

Search: WFRF:(Waltman Peter)

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1.
  • Weinstein, John N., et al. (author)
  • The cancer genome atlas pan-cancer analysis project
  • 2013
  • In: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 45:10, s. 1113-1120
  • Research review (peer-reviewed)abstract
    • The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tumors to discover molecular aberrations at the DNA, RNA, protein and epigenetic levels. The resulting rich data provide a major opportunity to develop an integrated picture of commonalities, differences and emergent themes across tumor lineages. The Pan-Cancer initiative compares the first 12 tumor types profiled by TCGA. Analysis of the molecular aberrations and their functional roles across tumor types will teach us how to extend therapies effective in one cancer type to others with a similar genomic profile. © 2013 Nature America, Inc. All rights reserved.
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2.
  • Abramo, Giovanni, et al. (author)
  • Retraction of Predatory publishing in Scopus : evidence on cross-country differences lacks justification
  • 2023
  • In: Scientometrics. - : Springer Science and Business Media LLC. - 0138-9130 .- 1588-2861. ; 128:2, s. 1459-1461
  • Journal article (peer-reviewed)abstract
    • As members of the Distinguished Reviewers Board of Scientometrics and/or as recipients of the Derek de Solla Price Medal, we wish to express our disagreement with the retraction of the paper “Predatory publishing in Scopus: evidence on cross-country differences” co-authored by Vít Macháček and Martin Srholec (Macháček & Srholec, 2021a). The retraction was discussed in the blog Retraction Watch (Oransky, 2021), where important information about the context of the retraction was disclosed, including the pressure exerted by the publisher Frontiers on Scientometrics.
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3.
  • Sjogarde, Peter, et al. (author)
  • Algorithmic labeling in hierarchical classifications of publications : Evaluation of bibliographic fields and term weighting approaches
  • 2021
  • In: Journal of the Association for Information Science and Technology. - : John Wiley & Sons. - 2330-1635 .- 2330-1643. ; 72:7, s. 853-869
  • Journal article (peer-reviewed)abstract
    • Algorithmic classifications of research publications can be used to study many different aspects of the science system, such as the organization of science into fields, the growth of fields, interdisciplinarity, and emerging topics. How to label the classes in these classifications is a problem that has not been thoroughly addressed in the literature. In this study, we evaluate different approaches to label the classes in algorithmically constructed classifications of research publications. We focus on two important choices: the choice of (a) different bibliographic fields and (b) different approaches to weight the relevance of terms. To evaluate the different choices, we created two baselines: one based on the Medical Subject Headings in MEDLINE and another based on the Science-Metrix journal classification. We tested to what extent different approaches yield the desired labels for the classes in the two baselines. Based on our results, we recommend extracting terms from titles and keywords to label classes at high levels of granularity (e.g., topics). At low levels of granularity (e.g., disciplines) we recommend extracting terms from journal names and author addresses. We recommend the use of a new approach, term frequency to specificity ratio, to calculate the relevance of terms.
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  • Result 1-3 of 3
Type of publication
journal article (2)
research review (1)
Type of content
peer-reviewed (3)
Author/Editor
Waltman, Ludo (2)
Yang, Yang (1)
Jörnsten, Rebecka, 1 ... (1)
Kling, Teresia, 1985 (1)
Sánchez, José, 1979 (1)
Nelander, Sven, 1974 (1)
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Abramo, Giovanni (1)
Aguillo, Isidro F. (1)
Aksnes, Dag W. (1)
Boyack, Kevin (1)
Burrell, Quentin L. (1)
Campanario, Juan Mig ... (1)
Chinchilla-Rodríguez ... (1)
Costas, Rodrigo (1)
D’Angelo, Ciriaco An ... (1)
Harzing, Anne Wil (1)
Jamali, Hamid R. (1)
Larivière, Vincent (1)
Leydesdorff, Loet (1)
Luwel, Marc (1)
Martin, Ben (1)
Mayr, Philipp (1)
McCain, Katherine W. (1)
Peters, Isabella (1)
Rafols, Ismael (1)
Robinson-Garcia, Nic ... (1)
Schubert, Torben (1)
Small, Henry (1)
Sugimoto, Cassidy R. (1)
Thelwall, Mike (1)
van den Besselaar, P ... (1)
van Leeuwen, Thed (1)
Chanock, Stephen J (1)
Zhang, Wei (1)
Ahlgren, Per (1)
Zhao, Wei (1)
Saksena, Gordon (1)
Nelander, S (1)
Jacobsen, Anders (1)
Schultz, Nikolaus (1)
Sander, Chris (1)
Li, Wei (1)
Park, Peter J. (1)
Meyerson, Matthew (1)
Kim, Jaegil (1)
Lopez-Bigas, Nuria (1)
Getz, Gad (1)
Haussler, David (1)
Lander, Eric S. (1)
Lin, Ling (1)
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University
University of Gothenburg (1)
Uppsala University (1)
Lund University (1)
Chalmers University of Technology (1)
Karolinska Institutet (1)
Language
English (3)
Research subject (UKÄ/SCB)
Social Sciences (2)
Natural sciences (1)
Medical and Health Sciences (1)

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