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Martin Ricker
It is argued that counting the total number of times a scientific article is cited by others, does neither result in a proxy for its cognitive impact nor for its quality. One would have to distinguish at least substitutable and fundamental references. A supposed correlation between peer review assessments and citation counts is conceptually problematic, because peer review includes objective as well as subjective considerations (convictions). With refined methods, however, a differential citation analysis might be able in the future to answer if a given article did or did not have positive cognitive impact on subsequent research...
2017: Scientometrics
Julia H Chariker, Yihang Zhang, John R Pani, Eric C Rouchka
Skills underlying scientific innovation and discovery generally develop within an academic community, often beginning with a graduate mentor's laboratory. In this paper, a network analysis of doctoral student-dissertation advisor relationships in The Academic Family Tree indicates the pattern of Nobel laureate mentoring relationships is non-random. Nobel laureates had a greater number of Nobel laureate ancestors, descendants, mentees/grandmentees, and local academic family, supporting the notion that assortative processes occur in the selection of mentors and mentees...
2017: Scientometrics
Mark-Christoph Müller, Florian Reitz, Nicolas Roy
Data sets of publication meta data with manually disambiguated author names play an important role in current author name disambiguation (AND) research. We review the most important data sets used so far, and compare their respective advantages and shortcomings. From the results of this review, we derive a set of general requirements to future AND data sets. These include both trivial requirements, like absence of errors and preservation of author order, and more substantial ones, like full disambiguation and adequate representation of publications with a small number of authors and highly variable author names...
2017: Scientometrics
Lucio Bertoli-Barsotti, Tommaso Lando
Of the existing theoretical formulas for the h-index, those recently suggested by Burrell (J Informetr 7:774-783, 2013b) and by Bertoli-Barsotti and Lando (J Informetr 9(4):762-776, 2015) have proved very effective in estimating the actual value of the h-index Hirsch (Proc Natl Acad Sci USA 102:16569-16572, 2005), at least at the level of the individual scientist. These approaches lead (or may lead) to two slightly different formulas, being based, respectively, on a "standard" and a "shifted" version of the geometric distribution...
2017: Scientometrics
Kevin M Kniffin, Andrew S Hanks
Given the complexity of questions studied by academicians, institutions are increasingly encouraging interdisciplinary research to tackle these problems; however, neither the individual-level pathways leading to the pursuit of interdisciplinary research nor the resulting market outcomes have been closely examined. In this study, we focus attention on the individuals who complete interdisciplinary dissertations to ask "who are they and how do they fare after earning the PhD?" Since interdisciplinary research is known to be relatively risky among academics, we examine demographic variables that are known to be associated in other contexts with risk-taking before considering whether interdisciplinarians' outcomes are different upon graduating...
2017: Scientometrics
Nees Jan van Eck, Ludo Waltman
Clustering scientific publications in an important problem in bibliometric research. We demonstrate how two software tools, CitNetExplorer and VOSviewer, can be used to cluster publications and to analyze the resulting clustering solutions. CitNetExplorer is used to cluster a large set of publications in the field of astronomy and astrophysics. The publications are clustered based on direct citation relations. CitNetExplorer and VOSviewer are used together to analyze the resulting clustering solutions. Both tools use visualizations to support the analysis of the clustering solutions, with CitNetExplorer focusing on the analysis at the level of individual publications and VOSviewer focusing on the analysis at an aggregate level...
2017: Scientometrics
Sercan Ozcan, Nazrul Islam
Many challenges still remain in the processing of explicit technological knowledge documents such as patents. Given the limitations and drawbacks of the existing approaches, this research sets out to develop an improved method for searching patent databases and extracting patent information to increase the efficiency and reliability of nanotechnology patent information retrieval process and to empirically analyse patent collaboration. A tech-mining method was applied and the subsequent analysis was performed using Thomson data analyser software...
2017: Scientometrics
Antoine Dechezleprêtre, Yann Ménière, Myra Mohnen
This paper provides an in-depth analysis of the characteristics of international patent families, including their domestic component. We exploit a relatively under-studied feature of patent families, namely the number of patents covering the same invention within a given jurisdiction. Using this information, we highlight common patterns in the structure of international patent families, which reflect both the patenting strategies of innovators and the peculiarities of the different patent systems. While the literature has extensively used family size, i...
2017: Scientometrics
W W Koczkodaj, T Kakiashvili, A Szymańska, J Montero-Marin, R Araya, J Garcia-Campayo, K Rutkowski, D Strzałka
Rating scales are used to elicit data about qualitative entities (e.g., research collaboration). This study presents an innovative method for reducing the number of rating scale items without the predictability loss. The "area under the receiver operator curve method" (AUC ROC) is used. The presented method has reduced the number of rating scale items (variables) to 28.57% (from 21 to 6) making over 70% of collected data unnecessary. Results have been verified by two methods of analysis: Graded Response Model (GRM) and Confirmatory Factor Analysis (CFA)...
2017: Scientometrics
Yimei Zhu
This paper presents the findings from a survey study of UK academics and their publishing behaviour. The aim of this study is to investigate academics' attitudes towards and practice of open access (OA) publishing. The results are based on a survey study of academics at 12 Russell Group universities, and reflect responses from over 1800 researchers. This study found that whilst most academics support the principle of making knowledge freely available to everyone, the use of OA publishing among UK academics was still limited despite relevant established OA policies...
2017: Scientometrics
Emanuel Kulczycki, Ewa A Rozkosz
This article discusses the Polish Journal Ranking, which is used in the research evaluation system in Poland. In 2015, the ranking, which represents all disciplines, allocated 17,437 journals into three lists: A, B, and C. The B list constitutes a ranking of Polish journals that are indexed neither in the Web of Science nor the European Reference Index for the Humanities. This ranking was built by evaluating journals in three dimensions: formal, bibliometric, and expert-based. We have analysed data on 2035 Polish journals from the B list...
2017: Scientometrics
Hanna Hottenrott, Cornelia Lawson
This study sheds light on the unexplored phenomenon of multiple institutional affiliations using scientific publications. Institutional affiliations are important in the organisation and governance of science. Multiple affiliations may alter the traditional framework of academic employment and careers and may require a reappraisal of institutional assessment based on research outcomes of affiliated staff. Results for authors in three major science and technology nations (Germany, Japan and the UK) and in three fields (biology, chemistry, and engineering) show that multiple affiliations have at least doubled over the past few years...
2017: Scientometrics
Loet Leydesdorff, Lutz Bornmann, Caroline S Wagner
Journal maps and classifications for 11,359 journals listed in the combined Journal Citation Reports 2015 of the Science and Social Sciences Citation Indexes are provided at and A routine using VOSviewer for integrating the journal mapping and their hierarchical clusterings is also made available. In this short communication, we provide background on the journal mapping/clustering and an explanation about and instructions for the routine...
2017: Scientometrics
Michał Krawczyk
I screen academic literature for cases of misattribution of cited author's gender. While such mistakes are overall not common, their frequency depends dramatically on the gender of the cited author. Female scholar are cited as if they were male more than ten times more often than the opposite happens, probably revealing that citers are influenced by the gender-science stereotype. The gender of the citing author and the field of study appear to have only limited effect.
2017: Scientometrics
Robin Haunschild, Lutz Bornmann
In this short communication, we provide an overview of a relatively newly provided source of altmetrics data which could possibly be used for societal impact measurements in scientometrics. Recently, Altmetric-a start-up providing publication level metrics-started to make data for publications available which have been mentioned in policy-related documents. Using data from Altmetric, we study how many papers indexed in the Web of Science (WoS) are mentioned in policy-related documents. We find that less than 0...
2017: Scientometrics
Anthony F J van Raan
A 'Sleeping Beauty in Science' is a publication that goes unnoticed ('sleeps') for a long time and then, almost suddenly, attracts a lot of attention ('is awakened by a prince'). In our foregoing study we found that roughly half of the Sleeping Beauties are application-oriented and thus are potential Sleeping Innovations. In this paper we investigate a new topic: Sleeping Beauties that are cited in patents. In this way we explore the existence of a dormitory of inventions. To our knowledge this is the first study of this kind...
2017: Scientometrics
Lutz Bornmann, Robin Haunschild
When the meaning of key terms is incompatible in competing taxonomies, a revolution might occur in the field by which the established taxonomy is replaced with another. Since the key term "impact" in scientometrics seems to undergo a taxonomic change, a revolution might be taking place at present: Impact is no longer defined as impact on science alone (measured by citations), but on all sectors of society (e.g. economics, culture, or politics). In this Short Communication, we outline that the current revolution in scientometrics does not only imply a broadening of the impact perspective, but also the devaluation of quality considerations in evaluative contexts...
2017: Scientometrics
Peter Wittek, Sándor Darányi, Gustaf Nelhans
Citation and coauthor networks offer an insight into the dynamics of scientific progress. We can also view them as representations of a causal structure, a logical process captured in a graph. From a causal perspective, we can ask questions such as whether authors form groups primarily due to their prior shared interest, or if their favourite topics are 'contagious' and spread through co-authorship. Such networks have been widely studied by the artificial intelligence community, and recently a connection has been made to nonlocal correlations produced by entangled particles in quantum physics-the impact of latent hidden variables can be analyzed by the same algebraic geometric methodology that relies on a sequence of semidefinite programming (SDP) relaxations...
2017: Scientometrics
Werner Marx, Robin Haunschild, Andreas Thor, Lutz Bornmann
This bibliometric analysis focuses on the general history of climate change research and, more specifically, on the discovery of the greenhouse effect. First, the Reference Publication Year Spectroscopy (RPYS) is applied to a large publication set on climate change of 222,060 papers published between 1980 and 2014. The references cited therein were extracted and analyzed with regard to publications, which are cited most frequently. Second, a new method for establishing a more subject-specific publication set for applying RPYS (based on the co-citations of a marker reference) is proposed (RPYS-CO)...
2017: Scientometrics
Christina H Drew, Kristianna G Pettibone, Fallis Owen Finch, Douglas Giles, Paul Jordan
As federal programs are held more accountable for their research investments, The National Institute of Environmental Health Sciences (NIEHS) has developed a new method to quantify the impact of our funded research on the scientific and broader communities. In this article we review traditional bibliometric analyses, address challenges associated with them, and describe a new bibliometric analysis method, the Automated Research Impact Assessment (ARIA). ARIA taps into a resource that has only rarely been used for bibliometric analyses: references cited in "important" research artifacts, such as policies, regulations, clinical guidelines, and expert panel reports...
March 2016: Scientometrics
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