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The many faces of mobility : using bibliometric data to measure the movement of scientists

The many faces of mobility : using bibliometric data to measure the movement of scientists

4 USA 9 6 UK*/Spain*/France* 2 In Table 1, researchers A and B are examples of researchers who have migrated to different countries (other than their country of origin). Researcher A has ruptures with her country of origin (Greece) at different points in time (i.e., years 2 and 5) during which she is affiliated with two new countries (i.e., Belgium and the UK). Research B instead ruptures with their origin country (Spain), affiliates within the U.K., and briefly holds a co-affiliation with the U.K. and Italy until affiliating solely within Italy. In the case of researcher A, an instance of multiple affiliation is identified between years 2 and 3, while researcher B has a co-affiliation instance at year 5 (probably a transitional phase between the United Kingdom and Italy). In the final years of the analysis, researcher B has lost ties to both their country of origin (Spain) and their country of second affiliation (UK). Researcher C shows indications of co-affiliation in some papers but not in others, while researcher D always presents co-affiliation instances. Neither of these two researchers loses ties with their country of origin, although both exhibit linkages with different countries over the time (e.g., researcher C has some papers within a given year without the country of origin, while researcher D retains ties to their country of origin on all publications). These examples demonstrate an important element in operationalizing mobility through bibliometric data: the predominant role of the publication year. Thus, the mobility trajectory of researcher is determined by the combination of affiliation instances across years, and not simply across publications. Thus, if a researcher migrates but does not publish in the following year, then they cannot be classified as a migrant; we discuss this more thoroughly later.
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Predicting the age of researchers using bibliometric data

Predicting the age of researchers using bibliometric data

scientific publications, conforming the ‘golden set’ of the study. As golden set we have considered one of the (possibly) largest datasets of individual scholars for whom their actual individual characteristics are known (this dataset has been used in some previous studies, e.g. Gingras et al., 2008; Larivière et al., 2011). The dataset is composed by 13,626 university professors from Quebec (Canada) who have published at least one article indexed in the Web of Science (WoS) database during the 1980-2012 period. For every scholar in the dataset, different information has been collected, including their biological (BIRTH) and academic (PHD) ages, along with other bibliometric data, such as the year of first publication (YFP), number of publications in WoS (P), the proportion of publications with the scholar in the first position (PP_POS_FIRST), the proportion of publications with any type of international collaboration (PP_INT_COLLAB), etc. The full list of variables considered can be found in Table A1 of the Appendix.
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The application of sociometric and event-history modeling to bibliometric data : the case of transgene plants

The application of sociometric and event-history modeling to bibliometric data : the case of transgene plants

individual, relational, and collective aspects of the knowledge creation and diffusion.. process within this community.[r]

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Comparing bibliometric statistics obtained from the Web of Science and Scopus

Comparing bibliometric statistics obtained from the Web of Science and Scopus

Abstract For more than 40 years, the Institute for Scientific Information (ISI, now part of Thomson Reuters) produced the only available bibliographic databases from which bibliometricians could compile large- scale bibliometric indicators. ISI’s citation indexes, now regrouped under the Web of Science (WoS), were the major sources of bibliometric data until 2004, when Scopus was launched by the publisher Reed Elsevier. For those who perform bibliometric analyses and comparisons of countries or institutions, the existence of these two major databases raises the important question of the comparability and stability of statistics obtained from different data sources. This paper uses macro- level bibliometric indicators to compare results obtained from the WoS and Scopus. It shows that the correlations between the measures obtained with both databases for the number of papers and the number of citations received by countries, as well as for their ranks, are extremely high (R 2 ≈ .99). There is also a very high correlation when countries’ papers are broken down by field. The paper thus provides evidence that indicators of scientific production and citations at the country level are stable and largely independent of the database.
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Bibliometric-Enhanced Information Retrieval: 11th International BIR Workshop

Bibliometric-Enhanced Information Retrieval: 11th International BIR Workshop

3 Target Audience The target audience of the BIR workshops are researchers and practitioners, ju- nior and senior, from Scientometrics as well as Information Retrieval and Natural Language Processing. These could be IR/NLP researchers interested in poten- tial new application areas for their work as well as researchers and practitioners working with bibliometric data and interested in how IR/NLP methods can make use of such data. The 10th anniversary edition in 2020 ran online with an audience peaking at 97 online participants [ 1 ]. In December 2020, we published our third special issue emerging from the past BIR workshops [ 2 ].
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The productivity and impact of astronomical telescopes - a bibliometric study for 2007 - 2011

The productivity and impact of astronomical telescopes - a bibliometric study for 2007 - 2011

Bibliometric Data The international astronomy community is fortunate to have access to the NASA Astrophysics Data System (NASA ADS) (Kurtz, et al. 2000). The ADS provides bibliometric information that is used by all professional astronomers. The NASA ADS database includes full publication information for each article (title, authors, journal, volume, page and year), as well as current citation counts. Each article in the system is assigned a unique bibliometric identifier (bibcode). This bibcode can be used to extract all the relevant information on that article from the ADS database.
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An axiomatic approach to bibliometric rankings and indices

An axiomatic approach to bibliometric rankings and indices

1 Introduction This paper studies, from an axiomatic point of view, several rankings and indices based on bibliometric data. It is a companion paper to Marchant (2009a). Com- pared to this paper, we have enlarged the list of rankings studied. It now includes the rankings based on: the number of highly cited papers, the number of papers, the number of citations received, the number of citations received by highly cited papers, the number of citations exceeding a threshold, the maximum number of citations, the h-index, and the g-index. Moreover, we will study both rankings and indices, while Marchant (2009a) only studied rankings. By studying several bibliometric rankings and indices simultaneously, we hope to provide a framework for understanding their similarities and their differences. Hence, we have tried hard to use conditions that can easily be interpreted and to make maximal use of conditions that are common to several rankings or indices.
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Reactive Tendencies of Bibliometric Indicators: Trends in the Alphabetization of Authorship in Economics and Information Science

Reactive Tendencies of Bibliometric Indicators: Trends in the Alphabetization of Authorship in Economics and Information Science

Introduction The idea about bibliometric indicators as neutral evaluation tools is appealing. Such tools would definitely save research politicians, science administrators, and others dealing with research evaluation a lot of time and effort. Instead of long intellectual reflections they would only need to turn on their computers and lock on to the Web of Science! The problem is, of course, that bibliometric indicators are not neutral evaluation tools. Information scientists have known this for a long time. They have repeatedly shown that the results of bibliometrics rely to a great extent on such things as the quality of bibliographic data, the coverage of databases, the chosen level and period of analysis, and the ontological, epistemological, and sociological dimensions of the analyzed domains. In recent years bibliometric indicators have moreover been shown to have unintended steering effects. Weingart (2005) presents a concise review of studies that have addressed the possible reactive tendencies of bibliometric indicators, and concludes that “not only the behavior of individuals but that of organizations may be affected by bibliometric measures in ways that are clearly unintended” (Weingart, 2005: 127). The best example is perhaps an Australian study (Butler, 2003) that shows that when linking the number of articles in peer reviewed journals to funding, authors chose the so- called salami method and divided their articles to the least publishable unit. This resulted in an increase in the number of publications. Yet, the quality (as measured by number of received citations) did not increase.
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Intra-disciplinary differences in database coverage and the consequences for bibliometric research

Intra-disciplinary differences in database coverage and the consequences for bibliometric research

include all research articles of a journal (Moed, 2005: 113) the possible bias of this procedure is assessed to be low. To give a preliminary answer to the problem concerning the consequences of coverage, a study of the relative sizes of the four specialties was conducted. The relative size of specialties was analyzed using different sources for performing research evaluation. As this analysis includes open access sources an analysis of the 15 years is not possible because the content of open access based databases is not static and thus the most recent year in the analysis (2005) was selected. The point of reference was EconLit, the citation databases and a delineation in the citation databases to the top 20 journals within the economics subject category. The top 20 journals were measured by journal impact factor (JIF) as available through the 2005 JCR social sciences edition in the subject category economics (isiknowledge.com/jcr). An overview of the 20 journals is available in appendix 5. The rationale for the analysis performed on the 20 journals with the highest JIF is a number of previous studies that have used a similar delineation as the sampling method (e.g. Hodgson & Rothman, 1999; Kocher & Sutter, 2001; Frost et al., 2003) or as means to characterize the quality of publications (Klaić & Klaić, 2004). Furthermore, a tool for citation analysis based on open access resources was included. The publications were located using Google Scholar - an alternative to the existing citation databases (Noruzi, 2005; Bakkalbasi et al., 2006; Kousha & Thelwall, 2006; Neuhaus & Daniel, 2007). Only journal articles were included in order to make the analysis comparable to the one in the citation databases. Unlike the citation indexes, open access based resources do not allow systematic analyses of neither the indexing policy nor the consequences of it. The indexing policies of services based on open access resources are difficult to analyze. This is partly caused by a lack of available information of the indexing policy (e.g. Google Scholar) and partly because the service providing access to the data is not in control of the indexing policy (e.g. archives based on authors self- archiving their work). Consequently, the influence on bibliometric studies of the indexing policy is even more difficult to investigate as we are limited by the options available through the services and as Neuhaus and Daniel (2007) state:
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Across the waves: a bibliometric analysis of container shipping research since the 1960s

Across the waves: a bibliometric analysis of container shipping research since the 1960s

the growing availability of large-scale data sets. For instance, complex networks measures were applied to the various maritime networks of which container shipping based on the intensity of inter-port vessel movements (Ducruet 2015 ). The importance of ‘ports’ is also explained by more emphasis put on the integration of transport and logistics chains, and the involvement of ocean carriers into dedicated terminal operations (Slack and Frémont, 2005 ), as shipping activity and port activity could no longer be analysed individually but rather, as part of one single reality. By contrast, classic and formerly central themes such as ‘optimal’ became peripheral, as in the recent period, such approaches got strongly related to operations research, which tends to get isolated from economic and management studies. Certain themes remain apart the central ‘backbone,’ for instance groups of words related with not only routing, programming, and containers, but also environmental issues (emissions, speed, fuel, and climate). In terms of geographic dominance, the third period is very much emblematic of the new central role of Asia in the shipping business and related research, followed not only by Europe but also by ‘global.’
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Factors affecting sex-related reporting in medical research : a cross-disciplinary bibliometric analysis

Factors affecting sex-related reporting in medical research : a cross-disciplinary bibliometric analysis

413 reinforces the relationship between sex-related reporting and research design: sex inclusion is 414 more feasible when planned at the onset during research design. 415 416 Sex inclusion is also a matter of scientific integrity. For example, Responsible Conduct of 417 Research (RCR) training, which is obligatory for all publicly funded researchers in the US, 418 examines issues of gender discrimination respecting scientists, and the inclusion of females in 419 research on human subjects (e.g., clinical trials) (23-24). However, sex inclusion and reporting 420 can and should be discussed in many other areas of research integrity. For example, micro-ethics 421 discussions—often called “good laboratory practice” —should enable sex identification in 422 effective record keeping, transparent reporting, and any sharing of data or material (such as on 423 Material Transfer Agreements). Sex identification becomes an identifying factor that augments 424 reproducibility and replicability. Research that considers sex differences could ultimately reduce 425 health inequities, making sex-related reporting an ethical obligation and social responsibility. 426
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Report on the 10th anniversary workshop on bibliometric-enhanced information retrieval (BIR 2020)

Report on the 10th anniversary workshop on bibliometric-enhanced information retrieval (BIR 2020)

5 Further Readings and Next Steps Since 2016 we maintain the “Bibliometric-enhanced-IR Bibliography” 5 that collects scientific pa- pers which appear in collaboration with the BIR/BIRNDL events. Currently the BIR organizers edit a Special issue on “Bibliometrics and Information Retrieval” 6 in the journal Scientometrics (Springer). All accepted and published papers are listed on the SI page accordingly.

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Relationships between Consumption, Publication and Impact in French Universities in a value perspective: A Bibliometric Analysis

Relationships between Consumption, Publication and Impact in French Universities in a value perspective: A Bibliometric Analysis

Limitations Two main limitations must be pointed out, without affecting the relevance of our findings:  The only data available in France to study usage are the COUNTER statistics. MESURE 9 , the national portal that collects usage data (the equivalent of the British JUSP 10 ) also relies on COUNTER statistics. As of yet, libraries have not performed deep logs analysis - used in other studies for instance (Nicholas et al. 2003; Jung et al. 2013) – which would have allowed us to conduct a more precise and reliable count of HTML and PDF downloads. As shown by previous studies (Davis and Price 2006; Bucknell 2012), the PDF HTML ratio varies substantially in the COUNTER statistics, depending on the publisher’s platform. Furthermore, it has been established that ergonomics of the ScienceDirect platform was elaborated with the idea of downloading articles while navigating (Ke et al. 2002). For instance, PDF icon appears prominently in the menu alongside the summary; the user, while navigating tends to click on the PDF to read the abstract. Number of downloads therefore artificially increases. Previous analyses have allowed us to confirm this phenomenon (Boukacem-Zeghmouri 2012). However, in the context of our study, this bias is restricted since we only took into account the ScienceDirect platform. We did not attempt to compare its usage with other platforms, which could have had different ergonomics and PDF HTML ratios and which therefore couldn’t have been compared. Furthermore, the tests conducted in 2008 by the IT department at the Joseph Fourier University in Grenoble 11 were meant to compare a set of COUNTER data with data taken from logs. This comparison showed that the difference in PDF downloads wasn’t very significant (between 2 and 5%).
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Rutherford’s impact on science over the last 110 years: a bibliometric analysis

Rutherford’s impact on science over the last 110 years: a bibliometric analysis

The num ber o f citations is often taken as a m easure o f the attention a paper, a researcher or an institute has attracted. A lthough citation num bers reflect strengths and shortcom ­ ings and are therefore frequently used for research evalu­ ation, the num ber o f citations cannot easily be equated w ith the overall significance. The question arises as to w hether the im pact o f early pioneers o f science like Ernest Rutherford can be quantified by bibliom etric m ethods usu­ ally applied to present day scientists. Carefully establish­ ing and interpreting the citations o f Rutherford as a case study seems to be a reasonable w ay to p ro c e e d [4]. The data presented here are prim arily based on the Science Citation Index (SCI) accessible via the Web o f Science (WoS) provided by Thom son Reuters (the form er Institute for Scientific Information, IS I ) [5]. In addition, the CAPlus
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Exploring the Scientific Interest for Olive Oil Origin: A Bibliometric Study from 1991 to 2018

Exploring the Scientific Interest for Olive Oil Origin: A Bibliometric Study from 1991 to 2018

issues. Indeed, olive oil is one of the most extensively studied edible oils and has served as a reference to develop the concepts of varietal and geographical origin discrimination. This bibliometric study highlights the core journals in which research articles on this topic are most likely to be published, the most prominent authors with their specific areas of expertise and the relationships between the scientific and economic interests of the most productive countries. The 732 references published between 1991 and 2018 can be distributed into eight clusters by a K-means analysis performed on their keywords, allowing to identify the main themes of research. A shift of popularity seems to be occurring from chemical fingerprinting using vibrational spectroscopy towards biologic phenotyping using genetic and metabolomic techniques, as indicated by the evolution of the number of publications in the corresponding clusters. Chemometric tools are now well established and are expected to continue to be increasing applied to treat the results from various analytical techniques. Moreover, the presence of connections creating a large network between most of the thematic clusters indicates the potential for multimethodological studies combining for instance infrared spectroscopy with gas chromatography or nuclear magnetic resonance with isotopic ratio or with sensory analysis. Finally, a trend to focus on the sensory and nutritional properties brought by minor compounds of olive oils appears to be emerging. Quantifying the minor compounds of olive oil leads to further study the complex relationships between the varietal origin, the ripening stage of the olives and the nutritional quality of the oil.
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Quality of Spine Surgery Research from the Arab Countries: A Systematic Review and Bibliometric Analysis

Quality of Spine Surgery Research from the Arab Countries: A Systematic Review and Bibliometric Analysis

2. Materials and Methods 2.1. Search Strategy. This study was conducted in Jeddah, Saudi Arabia, between August and November 2015. A search strategy was developed for the retrieval of all spine surgery- related articles. This study was performed by accessing databases and using the following protocol: “Search term” AND “Country name.” The time interval was restricted to 1/1/2000–30/6/2015. Abstracts were screened, and if all inclusion criteria were met, then the full-text was accessed for more data.

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Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016)

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016)

To cite this version : Cabanac, Guillaume and Chandrasekaran, Muthu Kumar and Frommholz, Ingo and Jaidka, Kokil and Kan, Min-Yen and Mayr, Philipp and Wolfram, Dietmar Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016). (2016) In: 16th ACM/IEEE-CS on Joint Conference on Digital Libraries

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Attracted to open access journals: A bibliometric author analysis in the field of biology

Attracted to open access journals: A bibliometric author analysis in the field of biology

estimates, as it would appear as if developing authors are more likely to publish OA, even though it is in fact not the case, since all they do is to publish their work locally. Indeed, the analysis below confirms that this is in fact the case. Information about the journals included in the study was collected using Ulrich’s, the Journal Citation Reports (JCR) and the ISI (or the Institute for Scientific Information) citation database called the Science Citation Index (SCI) which can be searched in what is currently known as Web of Science. As already mentioned the classification scheme of Ulrich’s has been used to divide the journals into sub- disciplines. Each journal can belong to more than one sub-discipline depending on the classification in Ulrich’s (the journals belong to a maximum of three sub-disciplines). Furthermore, information on the geographic location of the journals was available through Ulrich’s. However, it should be noted that the geographic location listed by Ulrich’s may not necessarily depict the whole picture as some journals may be listed with the location of the publisher although the editorial board members and associate editors are located in a completely different parts of the world. However, although using the geographic location available through Ulrich’s is not unblemished it can be a valuable variable to include as a journal located in a developing country is likely to have a higher share of authors from that country. Ulrich’s was also used to determine the OA status of the journal as the website provides a link to the freely available full text of the journal. JCR can provide information on the journal impact factor (JIF) of the journal. Although highly disputed JIF is probably the central quantitative indicator for measuring journal quality. 7 The most recent edition (at the time of the data gathering process) of
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Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016)

Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016)

To cite this version : Cabanac, Guillaume and Chandrasekaran, Muthu Kumar and Frommholz, Ingo and Jaidka, Kokil and Kan, Min-Yen and Mayr, Philipp and Wolfram, Dietmar Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2016). (2016) In: 16th ACM/IEEE-CS on Joint Conference on Digital Libraries

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A comparison of taxonomy generation techniques using bibliometric methods : applied to research strategy formulation

A comparison of taxonomy generation techniques using bibliometric methods : applied to research strategy formulation

This means that using a given scoring metric, it is impossible to compare all the taxonomy generation algorithms to each other, however it is possible to compare all t[r]

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