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    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

    The development and measurement properties of the Dutch version of the fear-avoidance component scale (FACS-D) in persons with chronic musculoskeletal pain

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    Introduction: Habituation to pain is a generally known phenomenon that involves a decrease in response after repeated painful stimulation 1. A variety of methods is available to measure short-term habituation. Nevertheless, the neural correlates are not well understood. Therefore, we developed a protocol integrating psychophysical and neural measures. Methods: Participants received three blocks of 25 brief painful electric stimuli while fMRI data was collected. After each stimulus, participants rated their pain on a visual analogue scale (VAS). The protocol was designed in a way to include ratings, allow for habituation and limit the influence of motor responses on the pain response. Analysis of habituation includes multilevel models for pain ratings and brain activity over blocks and on a trial-by-trial basis. Results: Preliminary results (n = 5) indicated a decrease in pain ratings, with large individual differences. In addition , we found brain activity in areas involved in pain processing in general (i.e., insula, cingulate cortex), which showed decreased activity over blocks of painful stimulation. Furthermore, in more refined analyses (trial-by-trial), we expect to find a linear decrease in activity in the anterior/midcingulate cortex, reflecting the decrease in subjective pain perception. Discussion: Our developed protocol allows for the investigation of short-term habituation with fMRI using self-report, block and trial-by-trial analyses and increases our understanding of individual differences in habitua-tion to pain. Process evaluation: Habituation can be measured in multiple ways, which complicates standardisation of paradigms and analyses. A protocol which allows for the integration and comparison of these methods helps to define and understand habituation. References: 1. Rankin CH, Abrams T, Barry RJ, et al. Habituation revisited: an updated and revised description of the behavioral characteristics of habituation. Neurobiology of learning and memory 2009; 92(2): 135-138. Introduction: The relevance of spine MRI data to understanding low back pain (LBP) is questioned but it remains one of the few ways to assess pathoanatomical features of the condition. A need for more reliable quantitative interpretation of clinical MRI data has arisen in step with growing interest in the genetic architecture of LBP and associated systemic and immunometablolic factors. Methods: We aim to quantitatively classify disc degen-eration (DD) imaging phenotypes using deep learning (DL). We have identified from the Northern Finland Birth Cohort target phenotypes derived from qualitative DD schemas and Modic change size. We will use DL and radiomic analysis to train models classifying these target phenotypes, externally validated on TwinsUK. We will then use the results to refine phenotype definitions. These data-driven phenotypes will be investigated in genome wide association studies (GWAS) to locate associated single nucleotide polymorphisms and immuno-metabolic pathways. Results: We expect the resultant model to accurately classify DD phenotypes, allowing coding of large cohorts for GWAS and other data-driven approaches identifying biological aspects of LBP. Discussion: For MRI to benefit LBP sufferers, quantitative approaches to interpretation are needed. DL can contribute to effective sub-grouping based on MRI that can impact both research and clinical management.Introduction: The Fear-Avoidance Components Scale (FACS) has been developed within the framework of the most current fear-avoidance model.1 This study aimed to translate the FACS into Dutch, and to investigate its measurement properties in patients with chronic muscu-loskeletal pain. Methods: The original English FACS was translated in Dutch through forward-backward translation. The FACS-D’s measurement properties were evaluated in 224 persons with chronic musculoskeletal pain. Internal consistency, test- retest reliability and measurement error were assessed with the Cronbach’s alpha coefficient (α), intraclass correlation coefficient (ICC), standard error of measurement (SEM) and smallest detectable change (SDC). Construct validity (including structural validity and hypothesis testing) was assessed through inter-item correlation analyses, exploratory factor analysis and by examining relationships between the FACS-D and other patient- reported instruments. Results: Internal consistency and test- retest reliability were high (α = 0.92; ICC = 0.92), and the SEM was 5.6 points. Regarding structural validity, low inter-item cor-relations were found for item 12. A two-factor model was found to best fit the data: one factor covered pain- related cognitions and emotions, the second factor covered items regarding avoidance behaviour. Five out of seven of the a priori-formulated hypotheses were confirmed. Discussion: The FACS-D has good reliability and va-lidity, and can be used to evaluate fear-avoidance in persons with chronic musculoskeletal pain. It’s a two- dimensional scale that assesses two clinically relevant constructs of fear-avoidance behaviour. One factor cov-ers pain- related cognitions and emotions, while the other factor covers avoidance behaviour. Process evaluation: Notwithstanding the sound method-ology, the paper's content is considered of low priority by editors. Reference: 1. Neblett R, Mayer TG, Hartzell MM, Williams MJ, Gatchel RJ. The Fear-avoidance Components Scale (FACS): Development and Psychometric Evaluation of a New Measure of Pain- related Fear Avoidance. Pain P ra ct ic e. 2016;16(4):435 – 450

    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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    The development and measurement properties of the Dutch version of the Fear-Avoidance Component Scale (FACS-D) in persons with chronic musculoskeletal pain

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    Objective: The Fear-Avoidance Components Scale (FACS) is a recently developed patient-reported instrument assessing different constructs related to the fear-avoidance model of pain. The aim was to translate the original English FACS into Dutch (FACS-D) and assess its measurement properties in persons with chronic musculoskeletal pain. Methods: The original English FACS (20 item-scale, range: 0-100) was translated in Dutch through standard forward-backward translation methodology. The FACS-D’s measurement properties were evaluated in 224 persons with chronic musculoskeletal pain. Internal consistency, test-retest reliability and measurement error were assessed with the Cronbach’s alpha coefficient (α), intraclass correlation coefficient (ICC), and standard error of measurement (SEM). Construct validity was assessed through inter-item correlation analyses, exploratory factor analysis, association with other fear-avoidance-related constructs, and hypothesis testing. Results: Internal consistency, test-retest reliability and hypotheses testing were good (α=0.92; ICC=0.92, CI 0.80-0.96; 7/8 hypotheses confirmed). Similar to the original FACS and other translated versions, a two-factor model best fit the data. However, item distribution differed from other versions. One factor represented “pain-related cognitions and emotions“ and a second factor represented “avoidance behaviour”. In contrast to the original FACS, low inter-item correlations for item 12 were found. The FACS-D was more strongly associated with fear-avoidance-related constructs of pain severity, perceived disability, feelings of injustice, and depressive/anxiety symptoms than other fear-avoidance-related scales studied here. Conclusion: The FACS-D demonstrated good reliability and construct validity, suggesting that it may be a useful measure for Dutch-speaking healthcare providers. Two clinically relevant factors, with a different item distribution than the original FACS, were identified: one covering items on pain-related cognitions and emotions, and one covering items on avoidance behaviour. The stronger association between FACS-D and fear-avoidance related constructs suggests that the FACS-D may be more effective in evaluating the cognitive, emotional and behavioural constructs of pain-related fear-avoidance

    The development and measurement properties of the Dutch version of the Fear-Avoidance Component Scale (FACS-D) in persons with chronic musculoskeletal pain

    No full text
    Objective: The Fear-Avoidance Components Scale (FACS) is a recently developed patient-reported instrument assessing different constructs related to the fear-avoidance model of pain. The aim was to translate the original English FACS into Dutch (FACS-D) and assess its measurement properties in persons with chronic musculoskeletal pain. Methods: The original English FACS (20 item-scale, range: 0-100) was translated in Dutch through standard forward-backward translation methodology. The FACS-D’s measurement properties were evaluated in 224 persons with chronic musculoskeletal pain. Internal consistency, test-retest reliability and measurement error were assessed with the Cronbach’s alpha coefficient (α), intraclass correlation coefficient (ICC), and standard error of measurement (SEM). Construct validity was assessed through inter-item correlation analyses, exploratory factor analysis, association with other fear-avoidance-related constructs, and hypothesis testing. Results: Internal consistency, test-retest reliability and hypotheses testing were good (α=0.92; ICC=0.92, CI 0.80-0.96; 7/8 hypotheses confirmed). Similar to the original FACS and other translated versions, a two-factor model best fit the data. However, item distribution differed from other versions. One factor represented “pain-related cognitions and emotions“ and a second factor represented “avoidance behaviour”. In contrast to the original FACS, low inter-item correlations for item 12 were found. The FACS-D was more strongly associated with fear-avoidance-related constructs of pain severity, perceived disability, feelings of injustice, and depressive/anxiety symptoms than other fear-avoidance-related scales studied here. Conclusion: The FACS-D demonstrated good reliability and construct validity, suggesting that it may be a useful measure for Dutch-speaking healthcare providers. Two clinically relevant factors, with a different item distribution than the original FACS, were identified: one covering items on pain-related cognitions and emotions, and one covering items on avoidance behaviour. The stronger association between FACS-D and fear-avoidance related constructs suggests that the FACS-D may be more effective in evaluating the cognitive, emotional and behavioural constructs of pain-related fear-avoidance

    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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