1,721,010 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
Computer-assisted quantification of interstitial lung disease associated with rheumatoid arthritis: Preliminary technical validation
Purpose: To validate a threshold-based prototype software application (MeVis PULMO 3D) for quantification of chronic interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA) using variable threshold settings for segmentation of diseased lung areas. Methods: Twenty-two patients with rheumatoid arthritis were included and underwent thin-section CT (4 x 1.25 mm collimation). CT scans were assessed by two observers for extent of ILD (EoILD), and twice by MeVis PULMO 3D for each protocol. MeVis PULMO 3D used four segmentation threshold (ST) settings (ST = -740, -780, -800 and -840 HU). Pulmonary function tests were obtained in all patients. Statistical evaluation used 95% limits of agreement (LoA) and linear regression analysis. Results: There was total concordance between the software measurements. Interobserver agreement was good (LoA = -28.36 to 17.58%). EoILD by readers correlated strongly with DL(CO) (r = -0.702, p < 0.0001) and moderately with FVC (r = -0.523, p = 0.018). There was close correlation between readers and MeVis PULMO 3D with best results for ST <780 HU (EoILD vs. MeVis PULMO 31): r = 0.650 for ST = -800 and -840 HU, respectively; p = 0.002). MeVis PULMO 3D correlated best with DL(CO) at ST of -800 HU (r = -0.44, -0.49, -0.58 and -0.57 for ST = -740, -780, -800 and -840, respectively; p = 0.007-0.05) and moderately with FVC (r = -0.44, -0.51, -0.59 and -0.45 for ST = -740, -780, -800 and -840), respectively; p = 0.007-0.05). Conclusion: The MeVis PULMO 3D system used holds promise to become a valuable instrument for quantification of chronic ILD in patients with RA when using the threshold value of -800 HU, with evidence of the closest correlations, both with human observers and physiologic impairment. (C) 2008 Elsevier Ireland Ltd. All rights reserved
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
Interstitial lung disease associated with collagen vascular disorders: disease quantification using a computer-aided diagnosis tool
The purpose of this study was to evaluate a computer-aided diagnosis (CAD) tool compared to human observers in quantification of interstitial lung disease (ILD) in patients with collagen-vascular disorders. A total of 52 patients with rheumatoid arthritis (n = 24), scleroderma (n = 14) and systemic lupus erythematosus (n = 14) underwent thin-section CT. Two independent observers assessed the extent of ILD (EoILD), reticulation (EoRet) and ground-glass opacity (EoGGO). CAD assessed EoILD twice. Pulmonary function tests were obtained. Statistical evaluation used 95% limits of agreement and linear regression analysis. CAD correlated well with diffusing capacity (DL(CO)) (R = -0.531, P < 0.0001) and moderately with forced vital capacity (FVC) (R = -0.483, P = 0.0008). There was close correlation between CAD and the readers (EoILD vs. CAD: R = 0.716, P < 0.0001; EoRet vs. CAD: R = 0.69, P < 0.0001). Subgroup analysis including patients with minimal EoGGO (< 15%) strengthened the correlations between CAD and the readers, readers and PFT, and CAD and PFT. EoILD by readers correlated strongly with DL(CO) (R = -0.705, P < 0.0001) and moderately with FVC (R = -0.559, P = 0.0002). EoRet correlated closely with DL(CO) and moderately with FVC (DL(CO): R = -0.663; FVC: R = -0.436; P a parts per thousand currency signaEuro parts per thousand 0.005). The CAD system is a promising tool for ILD quantification, showing close correlation with human observers and physiologic impairment
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
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
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