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Mariana Daniel et al.
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Bias against novelty in science: A cautionary tale for users of bibliometric indicators
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Kimberley Collins et al.
PLOS ONE (2016)
Modeling time-dependent and -independent indicators to facilitate identification of breakthrough research papers
Holly N. Wolcott et al.
SCIENTOMETRICS (2016)
Using Twitter for foresight: An opportunity?
Victoria Kayser et al.
FUTURES (2016)
Using Twitter to Predict the Stock Market Where is the Mood Effect?
Michael Nofer et al.
BUSINESS & INFORMATION SYSTEMS ENGINEERING (2015)
Machine learning: Trends, perspectives, and prospects
M. I. Jordan et al.
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Early stage identification of breakthroughs at the interface of science and technology: lessons drawn from a landmark publication
J. J. Winnink et al.
SCIENTOMETRICS (2015)
Simultaneous data pre-processing and SVM classification model selection based on a parallel genetic algorithm applied to spectroscopic data of olive oils
Olivier Devos et al.
FOOD CHEMISTRY (2014)
Citation impact prediction for scientific papers using stepwise regression analysis
Tian Yu et al.
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Breakthrough paper indicator 2.0: can geographical diversity and interdisciplinarity improve the accuracy of outstanding papers prediction?
Ilya V. Ponomarev et al.
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Dynamic Topic Detection and Tracking: A Comparison of HDP, C-Word, and Cocitation Methods
Wanying Ding et al.
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RESEARCH POLICY (2014)
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Ilya V. Ponomarev et al.
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Determinants of research citation impact in nanoscience and nanotechnology
Fereshteh Didegah et al.
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Rickard Danell
JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY (2011)
Twitter mood predicts the stock market
Johan Bollen et al.
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Extracting the commercialization gap between science and technology - Case study of a solar cell
Naoki Shibata et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2010)
Twitter adoption and use in mass convergence and emergency events
Amanda Lee Hughes et al.
INTERNATIONAL JOURNAL OF EMERGENCY MANAGEMENT (2009)
What makes an article influential? Predicting impact in social and personality psychology
Nick Haslam et al.
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Random forests for classification in ecology
D. Richard Cutler et al.
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The difference between highly and poorly cited medical articles in the journal Lancet
Ronald N. Kostoff
SCIENTOMETRICS (2007)
Hierarchical Dirichlet processes
Yee Whye Teh et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
An index to quantify an individual's scientific research output
JE Hirsch
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2005)
A latent variable model for chemogenomic profiling
P Flaherty et al.
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Sleeping Beauties in science
AFJ van Raan
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Characteristics of highly cited papers
DW Aksnes
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Asymptotic behaviors of support vector machines with Gaussian kernel
SS Keerthi et al.
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RJW Tijssen et al.
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Research profiling: Improving the literature review
AL Porter et al.
SCIENTOMETRICS (2002)
Statistical modeling: The two cultures
L Breiman
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What makes a scientific article influential? The case of demographers
HP van Dalen et al.
SCIENTOMETRICS (2001)
Artificial neural networks: fundamentals, computing, design, and application
IA Basheer et al.
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