Search (74 results, page 2 of 4)

  • × language_ss:"e"
  • × year_i:[2020 TO 2030}
  1. Zhang, X.; Wang, D.; Tang, Y.; Xiao, Q.: How question type influences knowledge withholding in social Q&A community (2023) 0.01
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    Date
    22. 9.2023 13:51:47
  2. Cheti, A.; Viti, E.: Functionality and merits of a faceted thesaurus : the case of the Nuovo soggettario (2023) 0.01
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    Date
    26.11.2023 18:59:22
  3. Wu, Z.; Li, R.; Zhou, Z.; Guo, J.; Jiang, J.; Su, X.: ¬A user sensitive subject protection approach for book search service (2020) 0.01
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    Date
    6. 1.2020 17:22:25
  4. Marcondes, C.H.: Towards a vocabulary to implement culturally relevant relationships between digital collections in heritage institutions (2020) 0.01
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    Date
    4. 3.2020 14:22:41
  5. Yang, F.; Zhang, X.: Focal fields in literature on the information divide : the USA, China, UK and India (2020) 0.01
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    Date
    13. 2.2020 18:22:13
  6. Hartel, J.: ¬The red thread of information (2020) 0.01
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    Date
    30. 4.2020 21:03:22
  7. Bergman, O.; Israeli, T.; Whittaker, S.: Factors hindering shared files retrieval (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  8. Ekstrand, M.D.; Wright, K.L.; Pera, M.S.: Enhancing classroom instruction with online news (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  9. Kim, J.(im); Kim, J.(enna): Effect of forename string on author name disambiguation (2020) 0.01
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    Date
    11. 7.2020 13:22:58
  10. Rha, E.Y.; Belkin, N.: Exploring social aspects of task perception using cognitive sociology : a social cognitive perspective (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  11. Kang, M.: Dual paths to continuous online knowledge sharing : a repetitive behavior perspective (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  12. Chi, Y.; He, D.; Jeng, W.: Laypeople's source selection in online health information-seeking process (2020) 0.01
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    Date
    12.11.2020 13:22:09
  13. Jia, J.: From data to knowledge : the relationships between vocabularies, linked data and knowledge graphs (2021) 0.01
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    Date
    22. 1.2021 14:24:32
  14. Gorichanaz, T.: Sanctuary : an institutional vision for the digital age (2021) 0.01
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    Date
    22. 1.2021 14:20:55
  15. Huang, T.; Nie, R.; Zhao, Y.: Archival knowledge in the field of personal archiving : an exploratory study based on grounded theory (2021) 0.01
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    Date
    22. 1.2021 14:20:27
  16. Zhou, Q.; Lee, C.S.; Sin, S.-C.J.; Lin, S.; Hu, H.; Ismail, M.F.F. Bin: Understanding the use of YouTube as a learning resource : a social cognitive perspective (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  17. Thelwall, M.; Thelwall, S.: ¬A thematic analysis of highly retweeted early COVID-19 tweets : consensus, information, dissent and lockdown life (2020) 0.01
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    Date
    20. 1.2015 18:30:22
  18. Ilhan, A.; Fietkiewicz, K.J.: Data privacy-related behavior and concerns of activity tracking technology users from Germany and the USA (2021) 0.01
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    Date
    20. 1.2015 18:30:22
  19. Haimson, O.L.; Carter, A.J.; Corvite, S.; Wheeler, B.; Wang, L.; Liu, T.; Lige, A.: ¬The major life events taxonomy : social readjustment, social media information sharing, and online network separation during times of life transition (2021) 0.01
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    Date
    10. 6.2021 19:22:47
  20. Hottenrott, H.; Rose, M.E.; Lawson, C.: ¬The rise of multiple institutional affiliations in academia (2021) 0.01
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    Abstract
    This study provides the first systematic, international, large-scale evidence on the extent and nature of multiple institutional affiliations on journal publications. Studying more than 15 million authors and 22 million articles from 40 countries we document that: In 2019, almost one in three articles was (co-)authored by authors with multiple affiliations and the share of authors with multiple affiliations increased from around 10% to 16% since 1996. The growth of multiple affiliations is prevalent in all fields and it is stronger in high impact journals. About 60% of multiple affiliations are between institutions from within the academic sector. International co-affiliations, which account for about a quarter of multiple affiliations, most often involve institutions from the United States, China, Germany and the United Kingdom, suggesting a core-periphery network. Network analysis also reveals a number communities of countries that are more likely to share affiliations. We discuss potential causes and show that the timing of the rise in multiple affiliations can be linked to the introduction of more competitive funding structures such as "excellence initiatives" in a number of countries. We discuss implications for science and science policy.

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