1,720,959 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
Technology gap in sheep farms in Türkiye
The objective of this study was to spatially estimate the technical efficiency of sheep farms and explore the factors affecting the technical efficiency. Research data were collected randomly from 328 selected sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa provinces in Türkiye. The metafrontier technical efficiencies (MTE) were estimated by using a stochastic meta-frontier production model. The meta-frontier technology ratio (MTR) was used to calculate the distance from the individual frontier to the meta-frontier. The determinants of technical efficiency were explored by using the two-limit Tobit model. Research results showed that the technical efficiency level of sheep farms varied spatially. The MTE of sheep farms in Ankara, Antalya, Diyarbakir, Konya, Mersin, and Sanliurfa were 0.45, 0.24, 0.25, 0.36, 0.42, and 0.21, respectively. The MTR was the highest in Konya, while the smallest was in Sanliurfa. Research results also showed that the variables of family size, education level of the operator, liquidity, return on asset, and information on sheep breeding positively affected the technical efficiency level of sheep farms. In contrast, total capital and farmland were negatively affected. The study suggests strengthening the economic viability of sheep farms and increasing their knowledge of sheep breeding to increase the technical efficiency level of sheep farms
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
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
Relationship Between Innovation and Sustainability in Farms Producing Paddy in Bafra District of Samsun, Turkey
The purposes of the study focused on the relationship between innovation and sustainability were to (i) measure the sustainability level and the level of benefiting from innovation in farms producing paddy in Bafra district of Samsun and (ii) explore the relationship between innovation and sustainability. The research data sources were farms producing paddy, previous studies related paddy, related institutions, view of academician and technical person in the research area and field observation. The farm level data covered the period of 2013 and collected from randomly selected 60 farms by using well-structured questionnaire. To measure economic, environmental and social sustainability, sustainability index was used while we used innovation index for exploring the level of benefiting innovation. Research results revealed that economic performance and innovation capacity of second group farms was better comparing to rest. Research results also showed that the sustainability was higher in farms that their benefiting level from innovation is high. Positive effects of innovation on sustainability were lower than of second and third ones. The study suggests initiating the farmers’ education program based on farmers’ need. For small scale farms that their benefiting level from innovation was low, financial and infra structure support may strength the relationship between innovation and sustainability. Keywords: Paddy farms, innovation, sustainability, Samsu
Reducing carbon emission in the goat farms by switching from conventional goat farming to green goat farm typology
The carbon footprint of goat farms associated with the management type and the income sacrifice to switch to green goat farms are still not precise in the literature. Therefore, the objectives of this study were 1) to assess the environmental impacts of goat farming associated with management typology in Türkiye and 2) to explore the link between farm-level income sacrifice and the amount of greenhouse gas (GHG) reduction. Goat farm-level data were collected from randomly selected 284 goat farms through a questionnaire. Environmental impacts of goat farming associated with the management typology were examined using the life cycle assessment (LCA). The GHG emissions were calculated both for the whole goat farm associated with the management type and for individual goat products such as milk, meat, mohair, and replacement. The research results showed that Turkish goat farms emitted GHG emissions for the production of per kg of meat, milk, and mohair by 9.85 kg CO2-eq, 8 kg CO2-eq, and 0.28 kg CO2-eq, respectively. Goat farms in management type 1 emitted the highest GHG emission in a year, while that of goat farms in type 5 was the lowest. The research results also showed that the environmental impact and farm-level income sacrifice per kg GHG emission reduction to reach the level of environmentally friendly goat farms varied according to the management type of goat farms. Typical Turkish goat farms gained agricultural income by 2.47 USD per kg of GHG emission. The amount of agricultural income gained per kg GHG emission varied according to typology. Based on the research results, typical Turkish goat farms faced with an income sacrifice of 2.85 USD per kg GHG emission reduction to reach the level of environmentally friendly goat farms having minimum GHG emission in a year. Turkish goat farms emitted 0.49 kg CO2-eq per USD of agricultural production expenses. The study suggests switching from a conventional management type to environmentally friendly management type goat farms. Facilitating the accessibility of financial resources may enhance the switching process through benefiting investments in infrastructure, equipment, and research and development. Creating resource-efficient and environmentally friendly goat farms by subsidizing the goat farms may decrease GHG emissions
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