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1	Advancing The Ability To Predict Cognitive Decline and Alzheimer’s Disease Based On Genetic Variants Beyond Amyloid-beta and Tau
	Rawat, Naveen
	In: Master's Projects (2021)
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2	Predicting Scalar Inferences From "Or" to "Not Both" Using Neural Sentence Encoders
	Li, Elissa; Schuster, Sebastian; Degen, Judith
	In: Proceedings of the Society for Computation in Linguistics (2021)
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3	Early reading correlates in language impairment (Newbury et al., 2020)
	Jayne Newbury (8958647); Laura M. Justice (5058230); Hui H. Jiang (8958649). - 2020
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4	How linguistic structure influences and helps to predict metaphoric meaning
	Dunn J. - : Walter de Gruyter GmbH, 2019
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5	Predicting literature's early impact with sentiment analysis in Twitter
	Hassan, SU; Aljohani, NR; Idrees, N; Sarwar, R; Nawaz, R; Martínez-Cámara, E; Ventura, S; Herrera, F
	In: 192 (2019)
	Abstract: This is an accepted manuscript of an article published by Elsevier in Knowledge-Based Systems on 14/12/2019, available online: https://doi.org/10.1016/j.knosys.2019.105383 The accepted version of the publication may differ from the final published version. ; © 2019 Elsevier B.V. Traditional bibliometric techniques gauge the impact of research through quantitative indices based on the citations data. However, due to the lag time involved in the citation-based indices, it may take years to comprehend the full impact of an article. This paper seeks to measure the early impact of research articles through the sentiments expressed in tweets about them. We claim that cited articles in either positive or neutral tweets have a more significant impact than those not cited at all or cited in negative tweets. We used the SentiStrength tool and improved it by incorporating new opinion-bearing words into its sentiment lexicon pertaining to scientific domains. Then, we classified the sentiment of 6,482,260 tweets linked to 1,083,535 publications covered by Altmetric.com. Using positive and negative tweets as an independent variable, and the citation count as the dependent variable, linear regression analysis showed a weak positive prediction of high citation counts across 16 broad disciplines in Scopus. Introducing an additional indicator to the regression model, i.e. ‘number of unique Twitter users’, improved the adjusted R-squared value of regression analysis in several disciplines. Overall, an encouraging positive correlation between tweet sentiments and citation counts showed that Twitter-based opinion may be exploited as a complementary predictor of literature's early impact. ; Published version
	Keyword: altmetrics; predicting citations; sentiment analysis; Twitter; user category
	URL: http://hdl.handle.net/2436/623701 https://doi.org/10.1016/j.knosys.2019.105383
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6	Reality Monitoring and Feedback Control of Speech Production Are Related Through Self-Agency.
	Subramaniam, Karuna; Kothare, Hardik; Mizuiri, Danielle. - : eScholarship, University of California, 2018
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7	Can We Predict Reproducible Scholarly Research?
	McDade, Joseph C., 1986--. - : Northern Illinois University, 2018
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8	Towards predicting dialog acts from previous speakers' non-verbal cues ; BIBTEX 2017
	Harte, Naomi. - 2017
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9	РАЗВИТИЕ У КИТАЙСКИХ СТУДЕНТОВ ВЕРБАЛЬНОГО ВЕРОЯТНОСТНОГО ПРОГНОЗИРОВАНИЯ В ОБУЧЕНИИ РКИ
	ЯНЧЕНКО ВЛАДИСЛАВ ДМИТРИЕВИЧ; ЛЮ ЦЯНЬ. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Поволжская государственная социально-гуманитарная академия», 2015
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10	An investigation of the role of parental request for self-correction of stuttering in the Lidcombe Program
	Donaghy, Michelle; Harrison, Elisabeth; O'Brian, Sue. - : Taylor & Francis, 2015
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11	Integrating literacy and engineering instruction for young learners
	Wilson-Lopez, Amy; Gregory, Stacie
	In: Teacher Education and Leadership Faculty Publications (2015)
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12	Comparative Stylistic Fanfiction Analysis: Popular and Unpopular Fics across Eleven Fandoms
	Rubin, Victoria L; Girouard, Vanessa
	In: FIMS Publications (2013)
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13	Reading Development and Dyslexia
	Snowling, MJ; Göbel, SM
	In: Symplectic Elements at Oxford ; Scopus (http://www.scopus.com/home.url) (2010)
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14	An international validation study of the EORTC brain cancer module (EORTC QLQ-BN20) for assessing health-related quality of life and symptoms in brain cancer patients.
	Taphoorn Martin, J.B.; Claassens, Lily; Aaronson Neil, K....
	In: European Journal of Cancer, vol. 46, no. 6, pp. 1033-1040 (2010)
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15	Mining Face-to-Face . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
	Lynn Wu; Ben Waber; Sinan Aral...
	In: http://ebusiness.mit.edu/research/papers/2008.05_Wu_Waber_Aral_Brynjolfsson_Pentland_Mining Face-to-Face Interaction_288.pdf (2008)
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16	Mining Face-to-Face Interaction . . . PRODUCTIVITY IN AN IT CONFIGURATION TASK
	Lynn Wu; Ben Waber; Sinan Aral...
	In: http://vismod.media.mit.edu//tech-reports/TR-622.pdf (2008)
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17	Multi-Mode and Evolutionary Networks
	Sharabati, Walid K.. - 2008
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18	An investigation of language and phonological development and the responsiveness of preschool age children to the Lidcombe Program
	Rousseau, I.; Packman, A.; Onslow, M.. - : Elsevier Science Ltd., 2007
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19	Guidelines for statistical analysis of percentage of syllables stuttered data
	Jones, Mark; Onslow, Mark; Packman, Ann. - : American Speech-Language-Hearing Association, 2006
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20	ImpelERO: Modelo híbrido sistema-experto/ red-neuronal para evaluar la erosión en suelos agrícolas. Apéndices
	Rosa, Diego de la. - : CSIC - Centro de Edafología y Biología Aplicada del Cuarto (CEBAC), 2004. : CSIC - Instituto de Recursos Naturales y Agrobiología de Sevilla (IRNAS), 2004
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