Mapping the landscape of cerebral amyloid angiopathy research: an informetric analysis perspective
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Min Song | Andreas Charidimou | D. Werring | Min Song | A. Charidimou | Z. Fox | Zoe Fox | David J Werring
[1] M. Tomonaga,et al. Cerebral Amyloid Angiopathy in the Elderly , 1981, Journal of the American Geriatrics Society.
[2] J. Baron,et al. Cortical superficial siderosis and intracerebral hemorrhage risk in cerebral amyloid angiopathy , 2013, Neurology.
[3] D. Lindberg,et al. Unified Medical Language System , 2020, Definitions.
[4] Mathieu Bastian,et al. Gephi: An Open Source Software for Exploring and Manipulating Networks , 2009, ICWSM.
[5] Won Chul Kim,et al. A Bird's-Eye View of Alzheimer's Disease Research: Reflecting Different Perspectives of Indexers, Authors, or Citers in Mapping the Field. , 2015, Journal of Alzheimer's disease : JAD.
[6] Pentti Nieminen,et al. How to use bibliometric methods in evaluation of scientific research? An example from Finnish schizophrenia research , 2008, Nordic journal of psychiatry.
[7] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[8] S. Pantelakis. [A particular type of senile angiopathy of the central nervous system: congophilic angiopathy, topography and frequency]. , 1954, Monatsschrift fur Psychiatrie und Neurologie.
[9] Andrew McCallum,et al. Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression , 2008, UAI.
[10] Min Song,et al. Identifying the landscape of Alzheimer’s disease research with network and content analysis , 2014, Scientometrics.
[11] Eric E. Smith,et al. Amyloid Angiopathy–Related Vascular Cognitive Impairment , 2004, Stroke.
[12] O. Persson,et al. Country Comparisons of Human Stroke Research Since 2001: A Bibliometric Study , 2012, Stroke.
[13] Aaron A. Sorensen,et al. Alzheimer's disease research: scientific productivity and impact of the top 100 investigators in the field. , 2009, Journal of Alzheimer's disease : JAD.
[14] Eric E. Smith,et al. Cerebral amyloid angiopathy and lobar intracerebral hemorrhage. , 2006, Archives of neurology.
[15] O. Benavente,et al. Cerebral Microbleeds: Histopathological Correlation of Neuroimaging , 2011, Cerebrovascular Diseases.
[16] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[17] D. Werring,et al. Sporadic cerebral amyloid angiopathy revisited: recent insights into pathophysiology and clinical spectrum , 2011, Journal of Neurology, Neurosurgery & Psychiatry.
[18] J. Trojanowski,et al. The growth and impact of Alzheimer disease centers as measured by social network analysis. , 2014, JAMA neurology.
[19] Eric E. Smith,et al. Cerebral microinfarcts: the invisible lesions , 2012, The Lancet Neurology.
[20] M. Woodward,et al. Effects of Perindopril-Based Lowering of Blood Pressure on Intracerebral Hemorrhage Related to Amyloid Angiopathy: The PROGRESS Trial , 2010, Stroke.
[21] Andrea Schiffauerova,et al. On the Relation between the Small World Structure and Scientific Activities , 2015, PloS one.
[22] Anand Kumar,et al. Text mining and ontologies in biomedicine: Making sense of raw text , 2005, Briefings Bioinform..
[23] D. Werring,et al. Outcome markers for clinical trials in cerebral amyloid angiopathy , 2001, The Lancet Neurology.
[24] Jean-Loup Guillaume,et al. Fast unfolding of communities in large networks , 2008, 0803.0476.
[25] Stefanos Pantelakis. Un type particulier d'angiopathie sénile du système nerveux central: l'angiopathie congophile. Topographie et fréquence; pp. 219–237 , 1954 .
[26] Jacob G. Foster,et al. Metaknowledge , 2011, Science.
[27] S. Leurgans,et al. Cerebral amyloid angiopathy pathology and cognitive domains in older persons , 2011, Annals of neurology.
[28] Christian Blaschke,et al. Status of text-mining techniques applied to biomedical text. , 2006, Drug discovery today.
[29] P. Hof,et al. The Geneva brain collection , 2011, Annals of the New York Academy of Sciences.