1,721,016 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
IDENTIFYING PREDICTORS OF RESPONSE FOLLOWING DISCONTINUATION OF JAKI THERAPY IN PATIENTS WITH RHEUMATOID ARTHRITIS
No full textObjectives: This study aimed to explore the use of semi-automated graphical representations in analysing and understanding infection outbreaks caused by multi-drug resistant microorganism within a hospital setting. Methods: Comprehensive data on inpatient interactions and contacts were collected from hospital information systems (HIS). Code for graph displaying was developed to easily perform representations with raw HIS extractions, without needing further data depuration. Three graph types were employed: (1) a patient-patient contact network diagram to study the interaction between patients, (2) a patient-ward contact network diagram to analyse the patient interaction with different wards, and (3) a timescale graph representing the length of stay within a ward of cases, marking their infection onset and the period of coincidence with their contacts in that ward. All graphics were performed using R language. Results: The adapted graphical representations provided a comprehensive visual overview of the patient contact networks within the hospital. The case-patient contact network diagram helped identify clusters of patients , shedding light on potential routes of infection transmission. The case-ward contact network diagram facilitated understanding of the distribution of cases across different wards and connect clusters and the graphical representation of contact duration within a ward show the variations in contact time among patients. These graphical representations significantly contribute to visualizing infection outbreak dynamics and enable targeted interventions for effective outbreak control. Conclusions: The utilization of graphical representations based on real-world data proved effective in visualizing patient contact networks and analysing infection outbreaks within a hospital setting. The graphical representation provided valuable insights into de dynamics of infection transmission, empowering healthcare professionals to implement timely targeted interventions for effective outbreak control. This data-driven approach using case-patient and case-wards networks, along contact duration visualization, enhances the understanding and management of infection outbreaks caused by multi-drug resistant microorganism within hospital
IDENTIFYING PREDICTORS OF RESPONSE FOLLOWING DISCONTINUATION OF JAKI THERAPY IN PATIENTS WITH RHEUMATOID ARTHRITIS
No full textObjectives: This study aimed to explore the use of semi-automated graphical representations in analysing and understanding infection outbreaks caused by multi-drug resistant microorganism within a hospital setting. Methods: Comprehensive data on inpatient interactions and contacts were collected from hospital information systems (HIS). Code for graph displaying was developed to easily perform representations with raw HIS extractions, without needing further data depuration. Three graph types were employed: (1) a patient-patient contact network diagram to study the interaction between patients, (2) a patient-ward contact network diagram to analyse the patient interaction with different wards, and (3) a timescale graph representing the length of stay within a ward of cases, marking their infection onset and the period of coincidence with their contacts in that ward. All graphics were performed using R language. Results: The adapted graphical representations provided a comprehensive visual overview of the patient contact networks within the hospital. The case-patient contact network diagram helped identify clusters of patients , shedding light on potential routes of infection transmission. The case-ward contact network diagram facilitated understanding of the distribution of cases across different wards and connect clusters and the graphical representation of contact duration within a ward show the variations in contact time among patients. These graphical representations significantly contribute to visualizing infection outbreak dynamics and enable targeted interventions for effective outbreak control. Conclusions: The utilization of graphical representations based on real-world data proved effective in visualizing patient contact networks and analysing infection outbreaks within a hospital setting. The graphical representation provided valuable insights into de dynamics of infection transmission, empowering healthcare professionals to implement timely targeted interventions for effective outbreak control. This data-driven approach using case-patient and case-wards networks, along contact duration visualization, enhances the understanding and management of infection outbreaks caused by multi-drug resistant microorganism within hospital
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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