papers of possible interest to Sig Metrics readers
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Sun Apr 15 17:00:09 EDT 2012
TITLE: University patenting and knowledge spillover in Japan:
panel-data analysis with citation data (Article, English)
AUTHOR: Otsuka, K
SOURCE: APPLIED ECONOMICS LETTERS 19 (11). 2012. p.1045-1049
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, ABINGDON
SEARCH TERM(S): CITATION item_title; CITATION* item_title
KEYWORDS: R&D; innovation; knowledge spillover; patent citations
KEYWORDS+: GROWTH; MODEL
ABSTRACT: University-based patents, by their nature, tend to embody
scientific knowledge, which can contribute to technological innovation.
University patents, therefore, can be an important catalyst between science and technology. This article examines the contribution of university patents to technological innovation. Using patent citation data, we investigate how the knowledge embodied in university patents influences technological innovation. We conclude that university-based patents convert scientific knowledge into generic knowledge and contribute to technological innovation.
AUTHOR ADDRESS: K Otsuka, Ritsumeikan Univ, Coll Econ, Dept Int Econ, Noji
Cho 1-1-1, Kusatsu, Shiga 5258577, Japan
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TITLE: Rheumatoid arthritis and periodontitis: A possible link
via "citation" (Letter, English)
AUTHOR: Rosenstein, ED; Scher, JU; Bretz, WA; Weissmann, G
SOURCE: ANAEROBE 18 (1). FEB 2012. p.162 ELSEVIER SCI LTD,
OXFORD
KEYWORDS+: INFECTION; SEVERITY
AUTHOR ADDRESS: ED Rosenstein, Overlook Med Ctr, Inst Rheumat & Autoimmune
Dis, 33 Overlook Rd, Summit, NJ 07901 USA
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TITLE: Cite Right: A Quick Guide to Citation Styles-MLA, APA,
Chicago, the Sciences, Professions, and More, by C. Lipson (Book Review,
English)
AUTHOR: Jennings, A
SOURCE: TECHNICAL COMMUNICATION 59 (1). FEB 2012. p.69-70 SOC
TECHNICAL COMMUNICATION, FAIRFAX
SEARCH TERM(S): CITATION item_title; CITATION* item_title
AUTHOR ADDRESS: A Jennings, Univ Houston Downtown, BS Degree Program
Profess Writing, Houston, TX 77002 USA
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TITLE: Contributions to financial crisis research: an assessment
of the literature in Social Science Citation Index journals from 1990 to
2008 (Article, English)
AUTHOR: Moh, FY; Lu, HP; Lin, BH
SOURCE: APPLIED ECONOMICS 44 (36). 2012. p.4689-4700 ROUTLEDGE
JOURNALS, TAYLOR & FRANCIS LTD, ABINGDON
SEARCH TERM(S): GARFIELD E SCIENCE 178:471 1972;
GARFIELD E J AM SOC INFORM SCI 49:768 1998
KEYWORDS+: CURRENCY CRISIS; BANKING CRISIS; INTERNATIONAL-BUSINESS;
CORPORATE GOVERNANCE; DEBT CRISIS; IMPACT; LESSONS;
ARTICLES; RETURNS; AUTHORS
ABSTRACT: Research in the field of financial crisis has generated a
considerable amount of literature in the past, yet there has neither been any study to assess the contributions to the literature made by individuals or institutions, nor any to measure the impact of the articles and researchers. This study represents an attempt to: (1) investigate the major journals in publishing financial crisis research,
(2) assess the contributions of individual researchers and institutions using the credited contribution approach and (3) measure the impact of individual publications and individual researchers on the financial crisis literature through citation analysis, based on the publications in Social Science Citation Index (SSCI) journals from 1990 to 2008. The findings provide a useful benchmark for assessing individual and institutional research productivity, and trends for future research and venues for publications are identified.
AUTHOR ADDRESS: FY Moh, Natl Taiwan Univ Sci & Technol, Grad Inst
Management, 43,Sect 4,Keelung Rd, Taipei 106, Taiwan
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TITLE: Fatigue after subarachnoid haemorrhage: A systematic
review (Review, English)
AUTHOR: Kutlubaev, MA; Barugh, AJ; Mead, GE
SOURCE: JOURNAL OF PSYCHOSOMATIC RESEARCH 72 (4). APR 2012.
p.305-310 PERGAMON-ELSEVIER SCIENCE LTD, OXFORD
SEARCH TERM(S):
GARFIELD E SCIENTIST 3:12 1989;
J PSYCHOSOM RES source_abbrev_20
KEYWORDS: Fatigue; Subarachnoid haemorrhage; Long-term outcomes
KEYWORDS+: QUALITY-OF-LIFE; LONG-TERM; ANEURYSMAL SAH; DISORDERS;
EPIDEMIOLOGY; DYSFUNCTION; PREVALENCE; SYMPTOMS; OUTCOMES;
STROKE
ABSTRACT: Background: Fatigue is common and debilitating symptom in
many neurological disorders and it has been reported in patients after non-traumatic subarachnoid haemorrhage (SAH).
Objectives: We undertook a systematic review to identify and critically appraise all published studies that have reported frequency, severity and time course of fatigue after SAH, the factors associated with its development and the impact of fatigue on patients' life after SAH.
Methods: We searched Medline, EMBASE, CINAHL, PsycINFO, AMED, PubMed and included in the review all studies published in English, recruiting at least 10 patients (>18 years old) after SAH, which reported fatigue.
Results: We identified 13 studies (total number of subjects 737) meeting our inclusion criteria. The frequency of fatigue ranged from 31 to 90%.
Fatigue remained common even several years after the ictus. According to some studies fatigue after SAH was associated with sleep disturbances, anxiety, depression, posttraumatic stress disorder, cognitive and physical impairment, but these could not explain all cases of fatigue.
Fatigue reduces quality of life and life satisfaction in patients after SAH.
Conclusions: Fatigue is common after SAH and seems to persist. Further research is needed to clarify its time course and identify factors associated with its development. (C) 2011 Elsevier Inc. All rights reserved.
AUTHOR ADDRESS: MA Kutlubaev, Univ Edinburgh, Royal Infirm Edinburgh, Room
S1643, Edinburgh EH16 5NN, Midlothian, Scotland
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TITLE: BAYESIAN META-ANALYSIS OF SOCIAL NETWORK DATA VIA
CONDITIONAL UNIFORM GRAPH QUANTILES (Article, English)
AUTHOR: Butts, CT
SOURCE: SOCIOLOGICAL METHODOLOGY 2011, VOL 41 41. 2011.
p.257-298 BLACKWELL SCIENCE PUBL, OXFORD
SEARCH TERM(S): PRICE DJD rauth
KEYWORDS+: EXPONENTIAL FAMILY; SAMPLE-SURVEYS; MODELS; POWER;
DISTRIBUTIONS; INFERENCE; SOCIOMATRICES; MIXTURES;
DYNAMICS; DENSITY
ABSTRACT: Many basic questions in the social network literature
center on the distribution of aggregate structural properties within and across populations of networks. Such questions are of increasing relevance given the growing availability of network data suitable for meta-analytic studies, as well as the rise of study designs that involve the collection of data on multiple networks drawn from a larger population. Despite this, little work has been done on model-based inference for the properties of graph populations, or on methods for comparing such populations. Here, we attempt to rectify this gap by introducing a family of techniques that combines an existing approach to the identification of structural biases in network data (the use of conditional uniform graph quantiles) with strategies drawn from nonparametric Bayesian analysis. Conditional uniform graph quantiles are the quantiles of an observed structural property in the reference distribution produced by evaluating that property over all graphs with certain fixed characteristics (e.g., size or density). These quantiles have long been used to measure the extent to which a property of interest on a single network deviates from what would be expected given that network's other characteristics. The methods introduced here employ such quantile information to allow for principled inference regarding the distribution of structural biases within (and comparison across) populations of networks, given data sampled at the network level. The data requirements of these methods are minimal, thus making them well- suited to meta-analytic applications for which complete network data (as opposed to summary statistics) are often unavailable. The structural biases inferred using these methods can be expressed in terms of posterior predictives for familiar and easily communicated quantities, such as p-values. In addition to the methods themselves, we present algorithms for posterior simulation from this model class, illustrating their use with applications to the analysis of social structure within urban communes and radio communications among emergency personnel. We also discuss how this approach may applied to quantiles arising from other reference distributions, such as those obtained using general exponential-family random graph models.
AUTHOR ADDRESS: CT Butts, Univ Calif Irvine, Dept Sociol, SSPA 2145,
Irvine, CA 92697 USA
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