1,720,993 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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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
Do higher primary care practice performance scores predict lower rates of emergency admissions for persons with serious mental illness? An analysis of secondary panel data
Design and theoretical/conceptual framework: Effective primary care can have an important preventive role, and should therefore be associated with lower emergency admission rates. Quality indicators for mental health have been routinely measured in English primary care over a number of years as part of the Quality and Outcomes Framework (QOF). Our null hypothesis is that there is no association between QOF performance and emergency hospital admissions for people with mental illness either for mental or physical conditions. We will test for an association between changes in practices' mental health QOF indicators and changes in their rates of emergency admission using data on all practices in England over the period 2004/05 to 2009/10. Our analysis will also estimate the impact of potential improvements in the QOF on subsequent mental health expenditure on secondary care. Sampling: We will construct a national dataset covering around 8000 English GP practices by drawing together routinely available secondary data. To examine the impact of the QOF on hospital expenditure, we will merge this national dataset with the costs of all 1.2 million patients who use specialist psychiatric hospital or community care in a given year. Our analysis will therefore be representative and produce generalisable results. Setting/context: We will use Hospital Episode Statistics (HES) data on emergency admissions for mental health patients from general practices for both physical and mental conditions over the period 2001/02 to 2009/10 in England. QOF data is available from 2004/05 to 2009/10. We will merge a number of data sources at practice level to create a panel which will provide statistical power and precision to the econometric analysis. To examine the relationship between the QOF and subsequent mental health expenditure we will use individual level cost data in the Mental Health Minimum Dataset (MHMDS) which has been derived from Reference Costs and is available for 2007/08 and 2008/09 covering care by specialist psychiatric teams in hospital or in the community. Data collection: We will use the following data: QOF Indicators: The Quality Management Analysis System (QMAS) provides QOF achievement and prevalence data at practice level. Some QOF indicators have remained constant, others have been modified, dropped or introduced. This represents a 'natural experiment' that allows variations in admissions between practices to be investigated. Covariates: Local population characteristics: Neighbourhood Statistics (ONS) socio-economic and demographic data will be attributed to GP practices using the Attribution Data Set which contains information on the number of patients in each practice resident in each Lower Super Output Area. The socio-economic data are very rich and include measures of deprivation, education, morbidity, ethnicity, rurality and small area characteristics. GP Practice variables: General Medical Statistics (GMS) data on GP and practice characteristics, and MHMDS data which will be aggregated to practice level. Mental Health Services Mapping Data will be used to construct supply variables. Hospital variables: hospital characteristics and quality indicators. Data analysis: We will estimate both cross-sectional and panel data models for the period 2004/05 to 2009/10 to examine the association between QOF and admissions over time. Examining the within practice temporal variation will remove the risk of unobserved factors which might affect both practice emergency admissions and quality. We will estimate both random and fixed effects multiple regression and count data models. All models will include year indicators to allow for temporal trends, and a rich set of relevant local population and practice covariates [1]. Random effects panel data models will include the average admissions for a practice over the period 2001/02 to 2003/04. This pre-sample 'baseline' will pick up unobserved practice and patient confounding characteristics which are time-invariant [2]. We will also include lags of QOF to allow for delayed effects of quality. We will carry out a variety of robustness checks. For ease of presentation the scores for all variables will be reported as incidence rate ratios (IRR). Our models for examining the association between QOF and subsequent hospital costs will include both OLS cross-sectional and random and fixed effects panel data models where we control for practice fixed effects and year dummies. We will regress costs in 2007/08 and 2008/09 on QOF scores from 2004/05 up to 2008/09. Given the positive skewness of costs we will also estimate transformed OLS and generalised linear models (GLM). We will use two-part models to test if better quality scores have an effect on average patients by reducing the probability of admission and/or by reducing costs once admitted. Possible lagged quality effects on costs will be captured by modelling 'baseline' quality from 2004/05 to 2006/07 on patient expenditure in 2007/08 and 2008/09. [1] Dusheiko M, Doran T, Gravelle H, Fullwood C, Roland M. Does higher quality of diabetes management in family practice reduce unplanned hospital admissions? Health Services Research 2011; 46:27-46. [2] Blundell R, Griffith R, Windmeijer F. Individual Effects and Dynamics in Count Data Models. Journal of Econometrics 2002; 108:113-31
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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