La sociología a través de sus publicaciones en revistas de impacto mediante el uso de big data

La sociología como disciplina ha sido definida de formas diversas que intentan abarcar sus dominios y métodos, aunque también se ha considerado inútil intentar definirla e incluso ha sido acusada de estar fragmentada y falta de uniformidad. Al igual que las demás disciplinas científicas, la sociología se puede observar como un sistema social al estar compuesta de complejas relaciones entre actores que incluyen a investigadores, instituciones, revistas y editoriales. Esas relaciones se forman a través de comunicaciones conceptuales y conforman redes que establecen como se organiza la disciplina. Actualmente, el fenómeno del big data ofrece la posibilidad de usar grandes colecciones de datos que permiten analizar la información de los procesos sociales. En concreto, a través de las grandes fuentes de datos bibliométricas la sociología tiene a su alcance ingentes cantidades de datos para mapear y estudiar la evolución de las disciplinas científicas. En este artículo describimos la sociología de los últimos treinta años a través de las publicaciones en las revistas de impacto. Para hacer esto, se emplean datos de revistas de sociología del Journal Citation Reports ampliados con la información de los artículos del Microsoft Academic Graph. Realizamos un análisis descriptivo de las revistas, sus países de origen, lenguas, editoriales y décadas de aparición e impacto. A continuación, evaluamos la evolución temporal del número de artículos y citas, así como la coautoría y el género de los autores. Tras esto, establecemos cuatro grupos de tipos de revistas y estudiamos sus diferencias en las dimensiones anteriores mediante contrastes de hipótesis. Finalmente, representamos las relaciones entre autores y revistas usando una red de afiliación que nos permite detectar grupos de revistas que forman interesantes comunidades temáticas y geográficas. Sociology as a discipline has been defined in diverse ways that attempt to cover the breadth of its domains and methods. Nonetheless, others have considered futile trying to define the discipline and many have accused sociology to be fragmented and lacking unity. Like the other scientific disciplines, sociology can be observed as a social system made up of researchers, institutions, journals and publishers. These relationships are established via conceptual communications which form networks that establish the way in which disciplined are organized. At present, the big data phenomena offers the capacity to use large data collections to analyse social processes. Big scholarly data sources offer sociology immense quantities of data useful to map and study the evolution of scientific disciplines. In this article we characterised the last thirty years of sociology through its publications in impact factor journals. To do this, we use data about the sociology journals from Journal Citation reports augmented with article information from Microsoft Academic Graph. The analysis starts by describing the journals, countries of origin, languages, publishers, the decades in which they appeared and their impact factor. After this, we evaluate the evolution of numbers of articles and citations as well as co-authorship and gender proportion. Subsequently, we establish four groups of journal types and study their differences in the previous dimensions using hypothesis tests. Finally, we represent the relationships between authors and journals using an affiliation network that allows us to detect groups of journals that form interesting thematic and geographic communities.

Methodological case of scientometric factors study in individual discipline

The authors analyze scientometric factors and rates of the Russianlanguage scientific journals in archeology provided by RSCI. The list of journals under study was based on the list of peer-reviewed journals comprising findings of candidate’s and doctor’s theses in the domain 07.00.06 – Archeology (historical sciences). The key factors of these journals were specified and rates were made for Science Index (SI), public evaluation, and 5-year impact-factor. The journals with high impact factor and low SI rating were revealed; absolute discrepancy of 2019 SI and public evaluation rating. The authors suggest to make changes to the methods of calculating SI integrated index of scientific journals: to accumulate ratings and add special equalizing coefficients for monodisciplines: to calculate factors with improved rubricator.

Customer Lifetime Value of Supplementary Health Insurance: An Analytical Model

Background: With the number of insurance customers growing, insurance companies are trying new ways to retain customers and streamline communication channels to avoid loss of revenue. The present study set out to develop a model for a reliable analysis of customer lifetime value. Methods: The present study was exploratory mixed method in design. The study took place in Jundishapur University of Medical Sciences, located in Ahvaz, Iran. A total of 402 insurance experts and university staffers participated in the study. A cross-sectional data collection was done using semi-structured interviews (n = 22) and a questionnaire (n = 380). The latter was validated via a panel of content area experts, criterion-dependent validity (second-order confirmatory factor analysis), and divergent validity (cross-sectional load test and Fornell-Laker). Cronbach's alpha and combined reliability were - 0.8 and 0.8, respectively. A structural equation approach was employed to analyze data using Smart PLS software. Results: Customer loyalty with an impact factor of 0.60 and T-statistic of 5.79, profitability with an impact factor of 0.55 and T-statistic of 3.75, customer co-creation with an impact factor of 0.28, and T-statistic of 2.7 have been identified as dimensions of customer lifetime value. Conclusion: Measuring customer lifetime value to implement various strategies requires a deep understanding of such value dimensions as loyalty, profitability, and value creation.

Bioeconomy of Sustainability: Drivers, Opportunities and Policy Implications

Sustainability is characterized by a growing trend in the number of papers published in the last years, for an increasing impact factor and because today a large number of experts and researchers dealing with this issue have published in this journal [...]

Top 100 Most Cited Studies in Obesity Research: A Bibliometric Analysis

Obesity represents a major global public health problem. In the past few decades the prevalence of obesity has increased worldwide. In 2016, an estimated 1.9 billion adults were overweight; of these more than 650 million were obese. There is an urgent need for potential solutions and deeper understanding of the risk factors responsible for obesity. A bibliometric analysis study was designed to provide a comprehensive overview of top 100 most cited studies on obesity indexed in Web of Science database. The online search was conducted on June 6, 2021 using the keywords “Obesity” OR “Obese” OR “Overweight” in title filed with no limitations on document types or languages. The top 100 cited studies were selected in descending order based on number of citations. The obtained data were imported in to Microsoft Excel 2019 to extract the basic information such as title, authors name, journal name, year of publication and total citations. In addition, the data were also imported in to HistCite™ for further citation analysis, and VOSviewer software for windows to plot the data for network visualization mapping. The initial search retrieved a total of 167,553 documents on obesity. Of the total retrieved documents, only top 100 most cited studies on obesity were included for further analysis. These studies were published from 1982 to 2017 in English language. Most of the studies were published as an article (n = 84). The highly cited study on obesity was “Establishing a standard definition for child overweight and obesity worldwide: international survey” published in BMJ-British Medical Journal (Impact Factor 39.890, Incites Journal Citation Reports, 2021) in 2000 cited 10,543 times. The average number of citations per study was 2,947.22 (ranging from 1,566 to 10,543 citations). Two studies had more than 10,000 citations. A total of 2,272 authors from 111 countries were involved. The most prolific author was Flegal KM authored 14 studies with 53,558 citations. The highly active country in obesity research was United States of America. The included studies were published in 33 journals. The most attractive journal was JAMA-Journal of the American Medical Association (Impact Factor 56.272) published 17 studies and cited globally 51,853 times. The most frequently used keywords were obesity (n = 87) and overweight (n = 22). The countries with highest total link strength was United States of America (n = 155), followed by England (n = 140), and Scotland (n = 130). Our results show that most number of highly cited studies were published in developed countries. The findings of this study can serve as a standard benchmark for researchers to provide the quality bibliographic references and insights into the future research trends and scientific cooperation in obesity research.

Energy conversion efficiency of thermoelectric power generators with cylindrical legs

Thermoelectric power generators (TEGs) have been attracted increasing attention recently due to their capability of converting waste heat into useful electric energy without hazardous emissions. This paper develops a theoretical model to analyze the thermoelectric performance of TEGs with cylindrical legs. The influence of heat convection loss between lateral surfaces of thermoelectric legs and ambient environment on the energy conversion efficiency is investigated. For the idealized model, closed-form solutions of optimal electric current, maximum power output and maximum energy conversion efficiency are obtained, a new dimensionless impact factor H is introduced to capture the heat convection effect. The impact factor H depends on the ratio of heat conductivity to heat convection coefficient and geometry size of thermoelectric legs, as well as the temperature ratio of heat sink to hot source. The performance can be evaluated by the figure of merit, impact factor H and temperature gradient across the hot source and heat sink for a well-designed TEG with cylindrical legs. For the case of considering contact resistance, it is found that there exists an optimal leg's height for maximum energy conversion efficiency due to the heat convection on lateral surfaces of thermoelectric leg. The proposed theoretical model in this paper will be very helpful in the designing of actual TEG devices.