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Genealogical Trees of Scientific Papers
Many results have been obtained when studying scientific papers citations databases in a network perspective. Articles can be ranked according to their current in-degree and their future popularity or citation counts can even be predicted. The dynamical properties of such networks and the observatio...
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| 出版年: | PLoS One |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4782995/ https://ncbi.nlm.nih.gov/pubmed/26954677 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0150588 |
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