Veterinary Sciences, Vol. 7, Pages 61: Using Manual and Computer-Based Text-Mining to Uncover Research Trends for Apis mellifera:
Veterinary Sciences, Vol. 7, Pages 61: Using Manual and Computer-Based Text-Mining to Uncover Research Trends for Apis mellifera
Veterinary Sciences doi: 10.3390/vetsci7020061
Authors:
Esmaeil Amiri
Prashant Waiker
Olav Rueppell
Prashanti Manda
Honey bee research is believed to be influenced dramatically by colony collapse disorder (CCD) and the sequenced genome release in 2006, but this assertion has never been tested. By employing text-mining approaches, research trends were tested by analyzing over 14,000 publications during the period of 1957 to 2017. Quantitatively, the data revealed an exponential growth until 2010 when the number of articles published per year ceased following the trend. Analysis of author-assigned keywords revealed that changes in keywords occurred roughly every decade with the most fundamental change in 1991–1992, instead of 2006. This change might be due to several factors including the research intensification on the Varroa mite. The genome release and CCD had quantitively only minor effects, mainly on honey bee health-related topics post-2006. Further analysis revealed that computational topic modeling can provide potentially hidden information and connections between some topics that might be ignored in author-assigned keywords.
Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,00306932607174,alsfakia@gmail.com,
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Τετάρτη 6 Μαΐου 2020
Veterinary Sciences, Vol. 7, Pages 61: Using Manual and Computer-Based Text-Mining to Uncover Research Trends for Apis mellifera
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Medicine by Alexandros G. Sfakianakis,Anapafseos 5 Agios Nikolaos 72100 Crete Greece,00302841026182,00306932607174,alsfakia@gmail.com,
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00302841026182,
00306932607174,
alsfakia@gmail.com,
Anapafseos 5 Agios Nikolaos 72100 Crete Greece,
Medicine by Alexandros G. Sfakianakis,
Telephone consultation 11855 int 1193
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