Impact factors, scientometrics and the history of citation-based research

2012 ◽  
Vol 92 (2) ◽  
pp. 419-427 ◽  
Author(s):  
Derek R. Smith
Keyword(s):  
Author(s):  
Sergey S. Naumov ◽  
Dmitry I. Petin

The article presents a previously understudied regional history aspect related to the origin, development and everyday life of the 16th Military Town in Omsk. It reveals the relation of the issue to the historiography of the problem on the scale of Siberian region. The objective of the research is to study the history of the 16th Military Town in Omsk by solving compound tasks. The authors analyse the microdistrict construction stages, reveal the main impact factors; study the military disposition within the microdistrict with regard to the local history. The research is based on a number of sources (previously unpublished documents from the Historical Archive of the Omsk Region and reference books) to restore the different stages of the Military Town history and construction, as well as the military disposition within the district as much as possible. The provided data form the foundation for a conclusion on the uniqueness of the 16th Military Town as a historical and cultural space of the urban environment from the perspective of history and culture studies


2021 ◽  
Author(s):  
Brian D. Cameron

Librarians rely on the Institute for Scientific Information’s journal impact factor as a tool for selecting periodicals, primarily in scientific disciplines. A current trend is to use this data as a means for evaluating the performance of departments, institutions, and even researchers in academic institutions—a process that is now being tied to tenure and promotion—despite the fact that such usage can be misleading and prejudicial. This paper will highlight the history of the development of impact factors, describe the limitations in their use, and provide a critique of the usage of impact factors in academic settings.


Author(s):  
Fatemeh Rafiei Nasab ◽  
Fakher Rahim

AbstractBackground and AimSince late 2019, an unknown-origin pneumonia outbreak detected in Wuhan city, Hubei Province, China. We aimed to build a model to qualitatively and quantitatively assess publications of research of COVID-19 from 2019 to 2020.Materials and MethodsData were obtained from the Web of Science (WOS), PubMed, and Scopus Core Collection on March 02, 2020, and updated on March 10. We conducted a qualitative and quantitative analysis of publication outputs, journals, authors, institutions, countries, cited references, keywords, and terms according to bibliometric methods using VOS viewer c software packages.ResultsInitially, we identified 227 papers, of which after an exclusion process, 92 studies were selected for statistical analyses. China accounted for the highest proportion of published research (44 papers, 40.48%), followed by the United States (21 papers, 19.32%), and Canada (7 papers, 6.44%). Adjusted by gross domestic product (GDP), ranked first, with 0.003 articles per billion GDP. In total, the top 10 journals published 47 articles, which accounted for 51.08% of all publications in this Feld. A total of 6 studies (05.52%) were supported by National Natural Science Foundation of China. Chinese Academy of Sciences ranked second 2, 2.76%).ConclusionBibliometric and visualized mapping may quantitatively monitor research performance in science and present predictions. The subject of this study was the fast growing publication on COVID-19. Most studies are published in journals with very high impact factors (IFs) and other journals are more interested in this type of research.HighlightsBibliometric description and mapping provided a birds-eye view of information on Covid-19 related researchReaders to comprehend the history of published Covid-19 articles in just a few minutes.We evaluated the research strength of countries and institutions,Scholars might refer to in order to find cooperative institutions.During our research using the selected database, we tried to guarantee comprehension and objectivity.


2020 ◽  
Author(s):  
Zexuan Chen ◽  
Long Zhang ◽  
Feng Hou ◽  
Jialiang Xie

Abstract Linqing brick is very famous in Chinese history. In 2008, "The manufacturing process of Linqing brick" was selected as the intangible cultural heritage list in China. Now in China, how to identify the origin of Linqing brick is an important issue in archeology and architectural history research. It can be used to verify some assumptions about the history of heritage buildings which cannot be solved only by historical documents. It can also be used to study the history of Linqing brick. Field portable X-ray fluorescence spectrometry (FPXRF) can quickly and non-destructively determine the main elements and concentrations of Linqing brick in situ. It may be significant for identifying the origin of Linqing brick. But FPXRF could be affected by many factors and it can only measure the element concentrations of surface. Which method we use can provide the most reliable data is an important issue. The aim of this study was to verify the reliability of FPXRF and to systematically evaluate different influential factors on measurement precision and accuracy, which can help with scientific advice for its use. We set up four experiments to determine the influential factors and assess reliability by cross validation using ICP-OES. Finally, we ensured that the FPXRF was reliable and determined the scientific advice required to use it to measure the main elements and concentrations of Linqing brick.


2021 ◽  
Author(s):  
Jefferson Pooley

This essay develops the idea of surveillance publishing, with special attention to the example of Elsevier. A scholarly publisher can be defined as a surveillance publisher if it derives a substantial proportion of its revenue from prediction products, fueled by data extracted from researcher behavior. The essay begins by tracing the Google search engine’s roots in bibliometrics, alongside a history of the citation analysis company that became, in 2016, Clarivate. The point is to show the co-evolution of scholarly communication and the surveillance advertising economy. The essay then refines the idea of surveillance publishing by engaging with the work of Shoshana Zuboff, Jathan Sadowski, Mariano-Florentino Cuéllar, and Aziz Huq. The recent history of Elsevier is traced to describe the company’s research-lifecycle data-harvesting strategy, with the aim to develop and sell prediction products to universities and other customers. The essay concludes by considering some of the potential costs of surveillance publishing, as other big commercial publishers increasingly enter the predictive-analytics mark. It is likely, I argue, that windfall subscription-and-APC profits in Elsevier’s “legacy” publishing business have financed its decade-long acquisition binge in analytics, with the implication that university customers are budgetary victims twice over. The products’ purpose, I stress, is to streamline the top-down assessment and evaluation practices that have taken hold in recent decades, in tandem with the view that the university’s main purpose is to grow regional and national economies. A final pair of concerns is that publishers’ prediction projects may camouflage and perpetuate existing biases in the system—and that scholars may internalize an analytics mindset, one already encouraged by citation counts and impact factors.


Author(s):  
Birutė Railienė

The topic of citation, input by country and other scientometrical indicators are widely discussed by Lithuanian scholars, though academic librarians still recall the questions about impact factors and “which are THE journals” to send the articles to, and so to obtain the required scores for the scientific certification. The scientometrical ideas become more popu-lar in Lithuania when “Social functions of science” (1939) by John Desmond Bernal (1901–1970) in 1965 and one year later – a “Little science. Big science” (1963) by Derek John de Solla Price (1922–1983) were translated to Russian language (they were almost unavailable in the original language for scholars in Soviet Union). These world famous monographs were followed by other monographs in scientometrics by soviet scholars, subject of scientometrics discussed at conferences and journal articles. “Scientometrics” was the first article (1969) published in a popular journal Mokslas ir technika by Stasys Poškus. The role of Lithuanian institute of Information science and the board of “Kibernetics” at the Lithuanian Academy of Sciences were outstanding in this field during early 60’ies. Lithuanian scholars were inves-tigating citation impact on science development and information service, information theo-ry, connection between scientometrics and history of science, etc. The scientific school of scientometricians in Lithuania was raised by Ona Voverienė, a famous professor of Vilnius University. O. Voverienė worked as an information officer at the company of chemical industry, investigated information theory, extended the investiga-tion of scientific communities in Lithuania. The science on science policy, main achieve-ments and personal structure of Lithuanian scholarship were presented in a trilogy: “Biblio-mertrija” (Bibliometrics, 1999), “Mokslinės mokyklos Lietuvoje” (Scientific schools in Lith-uanian, with co-authors, 2002) and “Žymieji 20-jojo amžiaus Lietuvos mokslininkai” (Fa-mous Lithuanian scholars in 20th century, 2009). O. Voverienė encouraged a “Bibliometrical seminar” for problems of information theory and bibliometrical investigations (1999–2001 at the Wrobelwski Library of the Lithuanian Academy of Sciences), though professor’s idea to establish a centre for Scientometrics is still unaccomplished. The history of scientometrics (the former term „science on science“ is considered as outdated in the scholarly writings in English language, though in some other languages it is still well accepted) from both historical and regional perspective is presented in the latest monograph „Mokslotyra“* (2013) by professor Ona Voverienė. The contents cover devel-opment of scientometrics in East Europe and Lithuania, theory and methodology are doc-umented using the literature analysis. The biograms of outstanding scientometicians are pre-sented together with Lithuanian specialist. Key words: bibliometrical investigations, information theory, scientometrics.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yan Wang ◽  
Sen Yang ◽  
Yue Zhang ◽  
Xin Zhang ◽  
Yaping Jiang ◽  
...  

Background. We aimed to investigate the symptoms of the dry eye disease (DED) of hospitalized patients with coronavirus disease 2019 (COVID-19). Methods. This cross-sectional, observational study analysis included 91 hospitalized patients with confirmed COVID-19 in Wuhan, China. The Ocular Surface Disease Index (OSDI) and the five-item Dry Eye Questionnaire (DEQ-5) were used to assess the severity of DED symptoms in the patients, and the analysis of variance was used to determine the factors associated with DED. Results. A total of 42 patients consented to complete the investigation (response rate 46.15%). There were 26 (61.90%) patients who were diagnosed with DED symptoms by OSDI, and there were 28 (66.67%) patients with DED symptoms who were diagnosed by DEQ-5 score. For the biochemical tests, the patients with DED symptoms had lower aspartate aminotransferase (AST) levels compared to those with no DED symptoms (20.86 vs. 42.14, p = 0.04 ). Further analysis showed that a previous history of cardiac or stroke disease ( p = 0.02 ) and typical symptoms of muscle soreness ( p = 0.03 ) were significantly different among the four DED symptoms groups on the basis of OSDI scores. The contributing factors of OSDI were mainly focused on visual function and environmental triggers. Conclusion. The incidence of DED symptoms is higher in hospitalized patients with COVID-19. The serum AST levels, history of cardiac or stroke disease, and the typical symptoms of muscle soreness may be the main impact factors on DED symptoms. We also need to pay more attention to the visual function and environmental triggers of hospitalized patients with COVID-19.


2021 ◽  
Author(s):  
Brian D. Cameron

Librarians rely on the Institute for Scientific Information’s journal impact factor as a tool for selecting periodicals, primarily in scientific disciplines. A current trend is to use this data as a means for evaluating the performance of departments, institutions, and even researchers in academic institutions—a process that is now being tied to tenure and promotion—despite the fact that such usage can be misleading and prejudicial. This paper will highlight the history of the development of impact factors, describe the limitations in their use, and provide a critique of the usage of impact factors in academic settings.


Author(s):  
Jeff Pooley

This essay develops the idea of surveillance publishing, with special attention to the example of Elsevier. A scholarly publisher can be defined as a surveillance publisher if it derives a substantial proportion of its revenue from prediction products, fueled by data extracted from researcher behavior. The essay begins by tracing the Google search engine’s roots in bibliometrics, alongside a history of the citation analysis company that became, in 2016, Clarivate. The essay develops the idea of surveillance publishing by engaging with the work of Shoshana Zuboff, Jathan Sadowski, Mariano-Florentino Cuéllar, and Aziz Huq. The recent history of Elsevier is traced to describe the company’s research-lifecycle data-harvesting strategy, with the aim to develop and sell prediction products to unviersity and other customers. The essay concludes by considering some of the potential costs of surveillance publishing, as other big commercial publishers increasingly enter the predictive-analytics business. It is likely, I argue, that windfall subscription-and-APC profits in Elsevier’s “legacy” publishing business have financed its decade-long acquisition binge in analytics. The products’ purpose, moreover, is to streamline the top-down assessment and evaluation practices that have taken hold in recent decades. A final concern is that scholars will internalize an analytics mindset, one already encouraged by citation counts and impact factors.  


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