305,314 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
This work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
[Report to Chief J. E. Curry, by an unknown author #2]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
A systematic review of the effectiveness of community-based interventions aimed at improving health literacy of parents/carers of children
Aim: the aim of this systematic review was to examine the effectiveness of community-based health literacy interventions in improving the health literacy of parents.Methods: a systematic review of six databases - MEDLINE, PsycINFO, CINAHL, Cochrane Library, Embase, and Education Source - was conducted to identify relevant articles. Risk of bias was assessed using version two of the Cochrane risk of bias tool for randomised controlled trials or the Cochrane collaboration risk of bias in non-randomised studies of interventions. The study findings were grouped and synthesised following the synthesis without meta-analysis framework.Results: eleven community-based health literacy interventions for parents were identified. Study design included randomised controlled trials ( n = 4), non-randomised studies with comparison group ( n = 4), and non-randomised studies without a comparison group ( n = 3). Interventions were delivered digitally, in person or a combination of the two. The risk of bias was high in over half the studies ( n = 7). The main findings of the studies showed some potential for both in person and digital interventions to increase parental health literacy. Studies were heterogeneous preventing a meta-analysis. Conclusion: community-based, health literacy interventions have been identified as potential methods for enhancing parental health literacy. Due to the small number of included studies and their potential for bias, these results must be interpreted with caution. This study emphasises the need for additional theory and evidence-based research on the long-term effects of community interventions.</p
[Report to Chief J. E. Curry, by an unknown author #1]
Report to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Assessment and Management of Risk for Intimate Partner Violence by Police Officers Using the Brief Spousal Assault Form for the Evaluation of Risk
The management of intimate partner violence (IPV) typically falls to police. For assistance, officers are increasingly using
violence risk assessment tools like the Brief Spousal Assault Form for the Evaluation of Risk (B-SAFER). This study replicates
the methodology of Belfrage et al. but examines the B-SAFER as used by Swedish police officers when assessing and managing IPV. Results revealed a positive relationship between risk and management. Total scores and overall risk ratings predicted recidivism (AUC [Area under the curve] = .70 and .69, respectively). Finally, a pattern where management recommendations were associated with decreased recidivism in high risk perpetrators but increased recidivism in low risk perpetrators was found. Results validate the use of the B-SAFER by police and reveal mostly comparable findings between the B-SAFER and the Spousal Assault Risk Assessment Guide, as examined by Belfrage et al., but suggest that the B-SAFER may be better suited for police
Mining e-mail content for author identification forensics
We describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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