1,721,035 research outputs found

    Erin Anderson

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    Erin Anderson majored in chemistry at IWU and was awarded the annual Undergraduate Award for Excellence in Chemistry by Iota Sigma Pi, the National Honor Society for Women in Chemistry, presented annually to only one student in the nation. Erin worked as a research assistant in synthetic organic chemistry and presented the results of her work at the annual American Chemical Society meetings in 2005 and 2007. As a student, she also authored and co-authored two articles published in leading international organic chemistry journals. She has been the recipient of additional awards including the Undergraduate Scholarship Award for Academic Excellence in Chemistry in 2006, Center for Cancer Research Director’s Innovation Award in 2015, and the National Institute of Health Fellows Award for Research Excellence in 2017. Following successful completion of her Ph.D. at the Scripps Institute, Erin joined the National Cancer Institute (NCI) in Frederick, Maryland. At the NCI, she developed new methods to analyze the mechanism of anticancer drug molecules and synthesized novel small molecules as potential drugs. Erin is currently working at Loxo Oncology, a subsidiary of Eli Lilly, where she is developing cancer therapy medications.https://digitalcommons.iwu.edu/awards_youngalumni/1001/thumbnail.jp

    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

    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

    Can Inaccurate Perceptions in Business-to-Business (B2B) Relationships Be Beneficial?

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    The authors dedicate this paper in honor of the memory of their deceased co-author, Erin Anderson. In dyadic business relationships, parties can be incorrect in reading their counterparts' relational closeness. For example, they can overestimate or underestimate the counterpart's commitment to their relationship. In the business-to-business (B2B) literature, the consequences of such inaccurate perceptions have not been empirically investigated. We advance and test the proposition that the impact of misreading the other party's relational closeness depends on the direction of the error. We propose that overestimating the counterpart's relational closeness (CRC) is beneficial, while underestimating the counterpart's relational closeness is detrimental for the relationship's functioning. Using original dyadic data in the service sector, we show that most companies underestimate their CRC, in which case becoming perceptually more accurate would improve their relationships. But the opposite holds for parties that overestimate their CRC, in which case becoming perceptually more accurate would actually make the relationship deteriorate. Furthermore, we show that even in long-standing relationships, companies do not know how accurate their perceptions are, even when they believe that they correctly perceive their CRC. We discuss managerial implications of our findings and encourage future research to determine why most decision makers underestimate their CRC, which can lead to impaired functioning of B2B relationships.business-to-business marketing, organizational research, channels of distribution, services marketing, key informant approach, measurement

    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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