1,721,786 research outputs found

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Regulatory Reform: Assessing the Government's Numbers

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    This paper provides the most comprehensive assessment to date of the costs and benefits of federal regulatory activities. The assessment, based on the government's own numbers, shows that the net benefits for final regulations promulgated from 1981 to mid-1996 approach a net present value of 1.6trillion.Theanalysisalsoshowsthatthegovernmentcansignificantlyincreasethenetbenefitsofregulation.Lessthanhalfoffinalregulationspassaneutraleconomistsbenefitcosttest.Netbenefitscouldincreasebyapproximately1.6 trillion. The analysis also shows that the government can significantly increase the net benefits of regulation. Less than half of final regulations pass a neutral economist's benefit-cost test. Net benefits could increase by approximately 280 billion if agencies rejected such regulations. Net benefits could also increase if agencies replace existing regulations with more efficient alternatives, or if agencies substantially improve regulatory programs. The efficiency of individual regulations varies by agency and by the type of risk the regulation is designed to reduce. Regulations from the Department of Transportation comprise over half of the total net benefits of final regulations, although they account for less than 10% of all regulations. The net benefits of regulations from the Environmental Protection Agency account for only about a third of total net benefits, primarily because of 19 Clean Air Act regulations with high net benefits, although two-thirds of all regulations are EPA regulations. On average, regulations that reduce cancer risk are less efficient than other social regulations, and EPA cancer regulations appear less efficient than other cancer regulations. Regulations that reduce the risk of car, fire, or work-related accidents are generally more efficient than regulations that reduce the risk of cancer and heart disease. The study also shows that the efficiency of regulations has not declined over time, as some scholars suggest. Furthermore, the introduction of formal regulatory oversight by the OMB does not appear to influence the cost-effectiveness of regulations. The paper shows that agency compliance with regulatory impact analysis requirements in Reagan's Executive Order 12291 and Clinton's Executive Order 12866, the basis for agency estimates of the costs and benefits of regulation, is usually superficial. As a result, the quality of such analyses is generally poor. Partly because of the poor quality of analyses, it appears that agencies do not often use the analyses to improve regulatory outcomes. If Congress and the White House are serious about regulatory reform, they must cooperate to enforce the regulatory impact analysis requirement. Successful enforcement requires high-level political support, statutory language requiring all agencies to adhere to established principles of economic analysis, and rigorous review of agency analyses by an independent entity. At this time, it is unclear whether law makers are willing to exert the political muscle necessary to achieve real reform.

    Variations on the Author

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    “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

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    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

    Structure Discovery in Biology: Motifs, Networks & Phylogenies (Dagstuhl Seminar 12291)

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    From 15.07.12 to 20.07.12, the Dagstuhl Seminar 12291 "Structure Discovery in Biology: Motifs, Networks & Phylogenies" was held in Schloss Dagstuhl -- Leibniz Center for Informatics. The seminar was in part a follow-up to Dagstuhl Seminar 10231, held in June 2010, this time with a strong emphasis on large data. Both veterans and new participants took part in this edition. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar, as well as abstracts of seminar results and ideas, are put together in this report. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

    Dispelling the Myths Behind First-author Citation Counts

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    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 Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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
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