1,720,963 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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
A Geospatial Approach to Wildlife and Wilderness Management
No full textThe populations in the western United States have increased significantly over the last few decades resulting in increased development pressures on undeveloped and pristine lands. Population growth and increased human activities have also changed the overall ecosystems more rapidly and extensively in recent years than in the past, emphasizing the need for protecting natural land and ecosystems. This dissertation conducts analyses to highlight the importance of protected areas and wildlife habitat.
Chapter 1 explores the use of Poisson and negative binomial regression models to examine winter habitat use by mountain goats in the Kenai Mountains of South-Central Alaska. Using GPS collared locations data, these models produce parameter estimates similar to discrete choice models, popular in resource selection studies, but with less computational complexity. The potential serial (or spatial) correlations present in the data are controlled for by incorporating spatial effects in a Gaussian conditional autoregressive framework. The results support the existing literature on mountain goat habitat use with most of the terrain features statistically significant across individual goat models. The distance to the nearest escape terrain is found to be the most consistent and highly significant determinant of goat habitat selection, where individual goats tend to increase the number of visits by 37.5 to 71.6 percent more to a particular location that is 100m closer to escape terrain. The statistical significance of spatial parameter highlights the importance of neighborhood effects in habitat selection by mountain goats.
Chapter 2 seeks to achieve two objectives. First, using regression based test of equivalence, the predicted habitat use by mountain goats are compared for two different sources of data. For mountain goats, the findings suggest that the predicted habitat uses from GPS collar and aerially surveyed locations are equivalent. Second, using the aerially surveyed goat locations data, the Bayesian inference techniques with respect to negative binomial regressions are employed to explore the effects of winter recreation on mountain goat habitat selection. In addition to the landscape features, the model comparison based on Bayes factor suggests that human recreation is an important factor affecting goats’ habitat use. Goats tend to avoid areas with higher human recreational activities represented by ski-tracks, and hiking trails; increase in the ski-tracks area by one square km within a buffer of 5 km reduces goat count by approximately 2.5 percent at a particular geographic location. This highlights the potential conflict between human recreation and winter habitat and provides an input into policy discussions on conservation of mountain goat habitat.
Chapter 3 of this dissertation analyzes the statistical properties of estimated parameters in the hedonic studies with special reference to the distance variables used to represent the proximity to environmental amenities or dis-amenities. Using Monte Carlo simulations, the findings suggest that when there are single locations available for each of the landmarks in the study area, including two or more distance variables in regression results in inconsistent parameter estimates associated with the distance variables. Nevertheless, when multiple locations are available for each of the landmark types and the distance variables capture the proximity to the nearest landmark location of each type, the parameters are consistently estimated. These findings are important in studies focusing on the estimation of welfare values based on distance variables.
The major objective of Chapter 4 is to examine the effects of proximity to wilderness areas on residential property values in Yavapai County, Arizona by utilizing geographic information system and recently developed spatial models. On average, a residential property located one mile closer to a nearest wilderness area is estimated to have values 5024 higher based on Euclidean and road distance as a measure of proximity respectively.EconomicsDoctoralUniversity of New Mexico. Dept. of EconomicsBohara, AlokThacher, JenniferHarris, GrantHansen, Wend
A Geospatial Approach to Wildlife and Wilderness Management
Full text linkThe populations in the western United States have increased significantly over the last few decades resulting in increased development pressures on undeveloped and pristine lands. Population growth and increased human activities have also changed the overall ecosystems more rapidly and extensively in recent years than in the past, emphasizing the need for protecting natural land and ecosystems. This dissertation conducts analyses to highlight the importance of protected areas and wildlife habitat. Chapter 1 explores the use of Poisson and negative binomial regression models to examine winter habitat use by mountain goats in the Kenai Mountains of South-Central Alaska. Using GPS collared locations data, these models produce parameter estimates similar to discrete choice models, popular in resource selection studies, but with less computational complexity. The potential serial (or spatial) correlations present in the data are controlled for by incorporating spatial effects in a Gaussian conditional autoregressive framework. The results support the existing literature on mountain goat habitat use with most of the terrain features statistically significant across individual goat models. The distance to the nearest escape terrain is found to be the most consistent and highly significant determinant of goat habitat selection, where individual goats tend to increase the number of visits by 37.5 to 71.6 percent more to a particular location that is 100m closer to escape terrain. The statistical significance of spatial parameter highlights the importance of neighborhood effects in habitat selection by mountain goats. Chapter 2 seeks to achieve two objectives. First, using regression based test of equivalence, the predicted habitat use by mountain goats are compared for two different sources of data. For mountain goats, the findings suggest that the predicted habitat uses from GPS collar and aerially surveyed locations are equivalent. Second, using the aerially surveyed goat locations data, the Bayesian inference techniques with respect to negative binomial regressions are employed to explore the effects of winter recreation on mountain goat habitat selection. In addition to the landscape features, the model comparison based on Bayes factor suggests that human recreation is an important factor affecting goats habitat use. Goats tend to avoid areas with higher human recreational activities represented by ski-tracks, and hiking trails; increase in the ski-tracks area by one square km within a buffer of 5 km reduces goat count by approximately 2.5 percent at a particular geographic location. This highlights the potential conflict between human recreation and winter habitat and provides an input into policy discussions on conservation of mountain goat habitat. Chapter 3 of this dissertation analyzes the statistical properties of estimated parameters in the hedonic studies with special reference to the distance variables used to represent the proximity to environmental amenities or dis-amenities. Using Monte Carlo simulations, the findings suggest that when there are single locations available for each of the landmarks in the study area, including two or more distance variables in regression results in inconsistent parameter estimates associated with the distance variables. Nevertheless, when multiple locations are available for each of the landmark types and the distance variables capture the proximity to the nearest landmark location of each type, the parameters are consistently estimated. These findings are important in studies focusing on the estimation of welfare values based on distance variables. The major objective of Chapter 4 is to examine the effects of proximity to wilderness areas on residential property values in Yavapai County, Arizona by utilizing geographic information system and recently developed spatial models. On average, a residential property located one mile closer to a nearest wilderness area is estimated to have values 5024 higher based on Euclidean and road distance as a measure of proximity respectively
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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