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

Author(s):  
Luis Martínez-Uribe

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.

Pflege ◽  
2018 ◽  
Vol 31 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Julian Hirt ◽  
Christian Buhtz ◽  
Benedikt Mersdorf ◽  
Gabriele Meyer

Zusammenfassung.Hintergrund: Die Häufigkeit pflegewissenschaftlicher Beiträge aus dem deutschsprachigen Raum in Zeitschriften mit hohem Impact Factor gibt Hinweise auf die Teilhabe der Disziplin am internationalen Diskurs. Bisherige Analysen beschränken sich auf pflegewissenschaftliche Zeitschriften. Diese konstatieren eine Unterrepräsentanz experimenteller Studien und klinischer Themen. Ziel: Identifikation und Analyse der Publikationen von im deutschsprachigen Raum ansässigen Pflegewissenschaftlerinnen/Pflegewissenschaftlern in internationalen pflegerelevanten High Impact Journals. Methode: Mittels Journal Citation Reports wurden pflegerelevante Zeitschriftenkategorien identifiziert, in denen die nach dem 5-Jahres-Impact-Factor höchsten 10 % der Zeitschriften der Jahre 2010 bis 2014 ausgewählt wurden. Der Einschluss der Publikationen und die Datenextraktion erfolgten durch zwei unabhängige Personen. Ergebnisse: Durchsucht wurden 106939 Publikationen aus 126 Zeitschriften. Eingeschlossen wurden 100 Publikationen, an denen 114 Pflegewissenschaftler/-innen aus dem deutschsprachigen Raum insgesamt 229 Mal beteiligt sind. Insgesamt 42 % sind Beobachtungsstudien, 11 % sind experimentelle Studien. Die berichteten Themen sind mehrheitlich klinisch orientiert (55 %). Über 50 % sind in den letzten zwei Jahren publiziert worden. Schlussfolgerungen: Das pflegewissenschaftliche Publikationsaufkommen aus dem deutschsprachigen Raum in High Impact Journals ist gering. Eine Zunahme über den Beobachtungszeitraum ist zu verzeichnen. Im Gegensatz zu früheren Analysen zeigt sich ein höherer Anteil klinischer Forschung.


2001 ◽  
Vol 18 (2) ◽  
pp. 119-126
Author(s):  
Greg Reid ◽  
Dale A. Ulrich

The impact factor is a measure of the frequency with which the “average article” in a journal has been cited in a particular year or period (Journal Citation Reports; http://jcr.isihost.com). Specifically, it is the ratio of the number of articles from the journal cited over a given time period to the number of articles published by that journal during the same period. It is an objective measure of the journal’s importance, especially when compared to others in the same field. The purpose of the present study was to compare the impact factor of APAQ to 11 other journals in sport science, special education, and rehabilitation. The impact factor of APAQ compares quite favorably to most other journals in sport science, special education, and rehabilitation. However, it is strikingly different in 1998 and 1999, and therefore scholars should monitor it closely in the next few years while remembering it is only one estimate of journal prestige.


Author(s):  
Saranya N. ◽  
Saravana Selvam

After an era of managing data collection difficulties, these days the issue has turned into the problem of how to process these vast amounts of information. Scientists, as well as researchers, think that today, probably the most essential topic in computing science is Big Data. Big Data is used to clarify the huge volume of data that could exist in any structure. This makes it difficult for standard controlling approaches for mining the best possible data through such large data sets. Classification in Big Data is a procedure of summing up data sets dependent on various examples. There are distinctive classification frameworks which help us to classify data collections. A few methods that discussed in the chapter are Multi-Layer Perception Linear Regression, C4.5, CART, J48, SVM, ID3, Random Forest, and KNN. The target of this chapter is to provide a comprehensive evaluation of classification methods that are in effect commonly utilized.


Diagnostics ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 64
Author(s):  
Kjaer

It is with great pleasure we can announce that Diagnostics has received its first official impact factor, which has just been published in the 2018 edition of the Journal Citation Reports® [...]


1997 ◽  
Vol 170 (2) ◽  
pp. 109-112 ◽  
Author(s):  
Louise Howard ◽  
Greg Wilkinson

BackgroundWe examined citation data for the British Journal of Psychiatry (BJP) and four other general psychiatry journals to assess their impact on the scientific community.MethodData on three measures of citations (total number of citations, impact factor and ranking by impact factor) were obtained from Journal Citation Reports for 1985–1994. Rank correlations from year to year were calculated.ResultsThe BJP currently ranks sixth of all psychiatry journals when journals are ranked by impact factor. The journal's impact factor fell between 1985 and 1990 and this was followed by a rise in impact factor after 1991. The BJP did not rank in the top 10 psychiatry journals between 1991 and 1993. Archives of General Psychiatry is cited more frequently than any other psychiatry journal, with the American Journal of Psychiatry usually ranking second. Psychopharmacology journals are replacing more general journals in the top rankings. Rankings of most journals have become less stable in recent years.ConclusionsThe BJP would have to change the nature and number of papers published to improve its impact factor. There are a number of limitations to citation data and such data are only one of several factors useful in evaluating the importance of a journal's contribution to scientific and clinical communities.Conflict of interestThese condauthor is Editor of the British Journal of Psychiatry.


2021 ◽  
Vol 5 (5) ◽  
pp. 482-486
Author(s):  
Sydney Weir ◽  
Reagan Hattaway ◽  
Nikhi Singh ◽  
Carter Boyd ◽  
Kshirpa Hemal

Introduction The COVID-19 pandemic has impacted multiple aspects of medicine, including research focus and medical literature. Specifically, the dermatology literature has reflected the challenges faced by dermatologists throughout the pandemic.1 Given the widespread interest in understanding the pandemic and its effects on the field of dermatology, we conducted an analysis of the dermatology literature to characterize the literature’s impact, content, trends, and the publication process. We anticipated that there would be more interest in dermatology publications pertaining to COVID-19. Methods Journal Citation Reports was used to select the 15 dermatology journals with the highest impact factor in 2019, and all articles published in these journals in 2020 were evaluated.2 Altmetric Attention Score (AAS) was recorded for each article. For COVID-19 related articles, we also assessed whether AAS and citations varied by the type of article (editorial, original article, or guideline) and sub-specialty of dermatology to which the article pertained. Results Analysis revealed journals prioritized publishing articles related to COVID-19, as the mean time from submission to publication was shorter (43 days) than what has previously been observed. COVID-19 related articles in the dermatology literature received more widespread attention as measured by the average AAS (33 vs. 4 p<0.001) and were higher impact as measured by citation count (11 vs. 1, p<0.001) than non-COVID-19 articles. Conclusions These findings demonstrates that dermatology research published regarding the COVID-19 pandemic received broader attention and were higher impact, suggesting the importance and influence of the pandemic for dermatology.


2017 ◽  
Vol 78 (3) ◽  
pp. 218-225
Author(s):  
Joanna Szewczykiewicz ◽  
Iwona Skrzecz ◽  
Katarzyna Materska

Abstract In recent years, there has been a significant increase in interest in publishing articles in journals recorded by global databases, in particular the Web of Science ™ Core Collection, which indexes journals found in the Journal Citation Reports. The publication of results in these journals has a significant impact on the assessment of the achievements of researchers and scientific institutions. Our study focused on the bibliometric analysis of two journals published by the Forest Research Institute: Forest Research Papers (Leśne Prace Badawcze) and Folia Forestalia Polonica Series A – Forestry. The results of these analyses were used to develop theoretical indices for the editorial boards of these journals in terms of requirements for including both periodicals in the Journal Citation Reports. The analysis covered the volumes published in 2000–2015 and the publication activity of the journals was evaluated on the basis of the numbers of articles, references, authors and journal citations. Bibliometric indicators such as the predicted Impact Factor, the Hirsch index, the Scimago Journal Rank and the Index Copernicus Value were used to evaluate the rank of the journals within the databases. In the examined period, 65 volumes of Forest Research Papers were published, with an average of 31 articles per year containing about 14,000 references and almost 900 contributing authors. During the same time frame, 30 volumes of Folia Forestalia Polonica Series A – Forestry were published, with an average of 14 articles per year. These articles included approximately 5,000 references and 600 authors. An increase in the bibliometric indicators for both journals was observed with the Impact Factor predicted to rise to 0.192 (Forest Research Papers) and 0.178 (Folia Forestalia Polonica Series A – Forestry). In order for the two examined journals to be included in the Journal Citation Reports the following requirements need to be met: (1) an increased number of articles published by authors with significant international authority in their field, (2) a greater number of researchers, especially from developed countries, in advisory boards, (3) more articles published in individual volumes to reach higher citation numbers in databases, and (4) promotion of the most cited articles.


2019 ◽  
Vol 24 (7) ◽  
pp. 1121-1123
Author(s):  
Zhi-Qiang Zhang

Journal impact factors for 2018 were recently announced by Clarivate Analytics in the June 2019 edition of Journal Citation Reports (JCR). In this editorial, I compared the impact factor of Systematic and Applied Acarology (SAA) with those of other main acarological journals as I did in Zhang (2017). Following Zhang (2018a), I also highlighted the top 10 SAA papers from 2016/2017 with the highest numbers of citations in 2018 (according to JCR June 2019 edition). In addition, I remarked on the increasing impact of developing countries and emerging markets in systematic and applied acarology, both in the number of publications and citations, and also include announcements of meetings on applied acarology.


Big data marks a major turning point in the use of data and is a powerful vehicle for growth and profitability. A comprehensive understanding of a company's data, its potential can be a new vector for performance. It must be recognized that without an adequate analysis, our data are just an unusable raw material. In this context, the traditional data processing tools cannot support such an explosion of volume. They cannot respond to new needs in a timely manner and at a reasonable cost. Big data is a broad term generally referring to very large data collections that impose complications on analytics tools for harnessing and managing such. This chapter details what big data analysis is. It presents the development of its applications. It is interested in the important changes that have touched the analytics context.


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