7.551 0.85%

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eLife - Impact Factor

Der Impact Factor 2018 von eLife beträgt 7.551 (neueste Daten im Jahr 2019). Im Vergleich zu historischen Impact Factor sank der Impact Factor 2018 von eLife um 0.85% . eLife Impact Factor Quartile: Q1. Der Impact Factor (IF) oder genauer der Journal Impact Factor (JIF), deutsch Impact-Faktor, ist eine errechnete Zahl, deren Höhe den Einfluss einer wissenschaftlichen Fachzeitschrift wiedergibt. Er dient zum bibliometrischen Vergleich verschiedener Zeitschriften. Der Impact-Faktor ist kein Maß für die Qualität der Artikel einer Zeitschrift, sondern gibt Auskunft darüber, wie oft die Artikel einer bestimmten Zeitschrift in anderen Publikationen zitiert werden. Der Impact-Faktor gibt an, wie häufig im Durchschnitt ein in dieser Zeitschrift veröffentlichter Artikel von anderen wissenschaftlichen Artikeln pro Jahr zitiert wird. In der Praxis werden Impact-Faktoren häufig für die Beurteilung wissenschaftlicher Publikationsleistungen verwendet. Die Berechnung des Journal Impact Factors (JIF) erfolgt für eine Zweijahresspanne nach folgender Formel: Eine Zeitschrift hat in den Jahren 2016–17 insgesamt (A) Artikel publiziert, im Jahr 2008 wurden alle Publikationen dieser Zeitschrift aus den vergangenen zwei Jahren insgesamt (B) mal zitiert, daraus ergibt sich für 2018 ein Impact Factor der Zeitschrift von (B/A). Der Impact Factor 2018 wird 2019 aktualisiert. Außerdem haben 89% von eLife veröffentlichten wissenschaftlichen Forschungsartikel im Jahr 2018 mindestens 1 Zitat erhalten. Neben dem 2-Jahr Impact Factor bieten der 3-Jahr Impact Factor und der 5-Jahr Impact Factor weitere Einblicke in die Auswirkungen von eLife.

 Impact Factor 2018-19

7.5 ~ 8.0


eLife - Impact Factor Vorhersage

40% der Wissenschaftler erwarten, dass der eLife Impact Factor 2019 im Bereich von 7.5 ~ 8.0 liegen wird. Das Impact Factor Trend Forecasting System bietet eine offene, transparente und unkomplizierte Plattform, mit deren Hilfe akademische Forscher die Auswirkungen und die Leistung zukünftiger Journale anhand der Erkenntnisse der Massen vorhersagen können. Das Impact Factor Trend Forecasting System zeigt die genauen Community-gesteuerten Daten ohne geheime Algorithmen, versteckte Faktoren oder systematische Verzögerungen an.

eLife Impact Factor Trend Forecasting System

 Real-Time Impact Factor Prediction & 2017 2018 2019 IF Impact Factor Trend - Academic Accelerator
eLife Impact Factor Trend. The chart clearly shows a downtrend of Impact Factor in 2018.
  • Impact Factor 2017 7.616
  • Impact Factor 2016 7.725
  • Impact Factor 2015 8.282


  • Anzahl der Artikel 2017 1316
  • Anzahl der Artikel 2016 1097
  • Anzahl der Artikel 2015 408
  • ISSN
  • 2050084X
  • Open Access
  • Verleger
  • eLife Sciences Publications
  • Land/Region
  • United Kingdom
  • Geschichte
  • Forschungsfeld
  • Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q1), Immunology and Microbiology (miscellaneous) (Q1), Medicine (miscellaneous) (Q1), Neuroscience (miscellaneous) (Q1)

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