回复： [SIGMETRICS] papers of possible interest to Sig Metrics readers
Eugene Garfield
eugene.garfield at THOMSONREUTERS.COM
Mon Apr 16 14:07:03 EDT 2012
Here is the full WOS record. I suggest you send email to the author requesting an e-print. Best wishes. E. Garfield
-----Original Message-----
From: ASIS&T Special Interest Group on Metrics [mailto:SIGMETRICS at LISTSERV.UTK.EDU] On Behalf Of ?? ?
Sent: Sunday, April 15, 2012 8:53 PM
To: SIGMETRICS at LISTSERV.UTK.EDU
Subject: [SIGMETRICS] 回复： [SIGMETRICS] papers of possible interest to Sig Metrics readers
Dear Prof.,
Would you please send me the full text of the article "University patenting and knowledge spillover in Japan: panel-data analysis with citation data ".
Thanks a lot.
Sincerely yours,
ZuoQi Ding
Editorial staff, Chines Journal of Natural Medicines
--- 12年4月16日，周一, Eugene Garfield <eugene.garfield at THOMSONREUTERS.COM> 写道：
> 发件人: Eugene Garfield <eugene.garfield at THOMSONREUTERS.COM>
> 主题: [SIGMETRICS] papers of possible interest to Sig Metrics readers
> 收件人: SIGMETRICS at LISTSERV.UTK.EDU
> 日期: 2012年4月16日,周一,上午5:00
> Adminstrative info for SIGMETRICS
> (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
>
>
>
>
>
> 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
>
>
> ----------------------------------------------------------------------
> ----
> 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
>
>
> ----------------------------------------------------------------------
> ----
> 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
>
>
> ----------------------------------------------------------------------
> ----
> 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
>
>
>
> ----------------------------------------------------------------------
> ----
> 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
> ----------------------------------------------------------------------
> ----
> 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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