A bibliometric analysis of NOAA’s Office of Ocean Exploration and Research

Bibliometric analysis techniques are increasingly being used to analyze and evaluate scientific research produced by institutions and grant funding agencies. This article uses bibliometric methods to analyze journal articles funded by NOAA’s Office of Ocean Exploration and Research (OER), an extramural grant-funding agency focused on the scientific exploration of the world’s oceans. OER-supported articles in this analysis were identified through grant reports, personal communication, and acknowledgement of OER support or grant numbers. The articles identified were analyzed to determine the number of publications and citations received per year, subject, and institution. The productivity and citation impact of institutions in the US receiving OER grant funding were mapped geographically. Word co-occurrence and bibliographic coupling networks were created and visualized to identify the research topics of OER-supported articles. Finally, article citation counts were evaluated by means of percentile ranks. This article demonstrates that bibliometric analysis can be useful for summarizing and evaluating the research performance of a grant funding agency.     

Universality of performance indicators based on citation and reference counts

We find evidence for the universality of two relative bibliometric indicators of the quality of individual scientific publications taken from different data sets. One of these is a new index that considers both citation and reference counts. We demonstrate this universality for relatively well cited publications from a single institute, grouped by year of publication and by faculty or by department. We show similar behaviour in publications submitted to the arXiv e-print archive, grouped by year of submission and by sub-archive. We also find that for reasonably well cited papers this distribution is well fitted by a lognormal with a variance of around ??²?=?1.3 which is consistent with the results of Radicchi et al. (Proc Natl Acad Sci USA 105:17268?C17272, 2008). Our work demonstrates that comparisons can be made between publications from different disciplines and publication dates, regardless of their citation count and without expensive access to the whole world-wide citation graph. Further, it shows that averages of the logarithm of such relative bibliometric indices deal with the issue of long tails and avoid the need for statistics based on lengthy ranking procedures.     

Bibliometric spectroscopy of Russia’s nanotechnology: 2000–2014

The article investigates the scientific performance of Russia in the field of nanotechnology, focusing on production, impact and collaboration. An underlying multidisciplinary corpus of publications was extracted from the Science Citation Index Expanded database through relevant keywords. The various bibliometric findings are presented in a top-down sequence, starting with a comparative analysis of Russia and other selected countries, scrutinizing further a revitalization of science in universities and finally presenting some (possible) centers of excellence within the domestic scientific system. Focusing on the most highly-cited nano papers, I use the analysis not only in terms of percentages of world shares of publications, but also in terms of the proportions of top-1 and top-10% publications. It is shown that among the comparative countries, Russia maximally increases the citation impact depending on its internationalization efforts and that, for example, the co-authorship between Russia and Australia in the top-10% layer as well as between Russia and the UK in the top-1% layer is above expectation. Implementing the president’s initiative “Strategy of Nanoindustry Development” and the role of governmental university-centered policy are discussed in light of the performed bibliometric study.     

Authorship trends in software engineering

This paper aims to examine authorship trends in software engineering, especially those related to the number of authors, of scientific publications. We collected and mined around 70.000 entries from DBLP for 122 conferences and journals, for the period 1971–2012, in order to process several bibliometric indicators. We provide evidence that the number of authors of articles in software engineering is increasing on average around +0.40 authors/decade. The results also indicate that until 1980, the majority of the articles have a sole author, while nowadays articles with 3 or 4 authors represent almost half of the total.     

Using content-based and bibliometric features for machine learning models to predict citation counts in the biomedical literature

The most popular method for judging the impact of biomedical articles is citation count which is the number of citations received. The most significant limitation of citation count is that it cannot evaluate articles at the time of publication since citations accumulate over time. This work presents computer models that accurately predict citation counts of biomedical publications within a deep horizon of 10 years using only predictive information available at publication time. Our experiments show that it is indeed feasible to accurately predict future citation counts with a mixture of content-based and bibliometric features using machine learning methods. The models pave the way for practical prediction of the long-term impact of publication, and their statistical analysis provides greater insight into citation behavior.     

Citedness and uncitedness of cancer articles

There is a rapid growth of cancer literature. Thousands of papers are being regularly published every year not only in speciality journals, but also in journals of other disciplines. Citation studies are nowadays considered a major basis of science indicators for ascertaining the importance of a scientific journal and that of the published articles on a particular subject. In oncological research the journalCancer is considered as one of the top most journals and is universally well known for its high standard and excellence. In this paper an attempt has been made to find out the importance of all the articles published in it for a particular year. Side by side bibliometric analysis was made to ascertain various other aspects like time lag between publication and first citation of articles, average citation time, subject scattering and identification of most important journals in the field etc. It is believed that this study would be of help to the working oncologists, librarians and information scientists to assess the importance of articles published in a top ranking journal of cancer and also that of different journals publishing oncological research results.     

The end of the “European Paradox”

This paper evaluates the European Paradox according to which Europe plays a leading world role in terms of scientific excellence, measured in terms of the number of publications, but lacks the entrepreneurial capacity of the US to transform this excellent performance into innovation, growth, and jobs. Citation distributions for the US, the European Union (EU), and the Rest of the World are evaluated using a pair of high- and low-impact indicators, as well as the mean citation rate (MCR). The dataset consists of 3.6 million articles published in 1998–2002 with a common 5-year citation window. The analysis is carried at a low aggregation level, namely, the 219 sub-fields identified with the Web of Science categories distinguished by Thomson Scientific. The problems posed by international co-authorship and the multiple assignments of articles to sub-fields are solved following a multiplicative strategy. We find that, although the EU has more publications than the US in 113 out of 219 sub-fields, the US is ahead of the EU in 189 sub-fields in terms of the high-impact indicator, and in 163 sub-fields in terms of the low-impact indicator. Finally, we verify that using the high-impact indicator the US/EU gap is usually greater than when using the MCR.     

Comprehensive evaluation of h-index and its extensions in the domain of mathematics

Scientometrics - Until the late 90’s, conventional bibliometric indices such as, publication count, citation count, and number of co-authors have extensively been employed by the scientific...     

Measuring impact by a full option method and the notion of bibliometric spectra

A full option method for determining impact takes into account citations to all cited publications, instead of limiting the analysis to ISI-publications only, as usually done in the standard method. The method was tested for the 258 early Ghent professors, teaching in 6 different faculties. The impact of monographs is, in general, much larger than the impact of articles (whether of ISI-type or not). This result remains valid for all six faculties separately. Limiting the bibliometric visibility to ISI-publications reduces the number of citations to only 16%. Bibliometric spectra are presented, in which citations, cited publications and their impact are shown in function of the year of publication. The number of cited publications is always important to expose the influence of activity (production) upon bibliometric scores. For the faculty of Arts, the citations to early professors are compared with those obtained for the presentday generation: the bibliometric spectrum for the former group is rather discontinuous (showing a large erosion in the number of citations by year), whereas that of the latter is continuous. The Ghent citation data are also compared with those given internationally in the same period.     

Bibliometrics evaluation of research performance in pharmacology/pharmacy: China relative to ten representative countries

Pharmacology/pharmacy is an important scientific field and plays a pivotal role in new drug research and development. China has steadily increased investment in drug development. This study aimed to evaluate the productivity of China in the field pharmacology/pharmacy in the past decade in relation to ten representative countries. The publications in the field pharmacology/pharmacy of China and ten representative countries in the past decade (2001–2010) were retrieved from Web of Science database, and studies were conducted on the immediacy index of articles published in 2011. Multiple bibliometric indicators were obtained from the “InCites” analysis. Most of the bibliometric indicators for the developed countries including the USA and the European countries remained stable in the past decade. The number of publications by the Asian countries, especially China, increased dramatically in the past decade year by year; however, the Asian countries improved little in the indicators assessing the scientific quality of publications including the citation behaviors and the impact relative to either country and subject area. It may need a long time to fill in the gap, in terms of the scientific quality, between the developing countries and the developed countries. In view of the dramatic increase in the financial investment, our findings suggest that the development of the field pharmacology/pharmacy worldwide is not optimistic, which may partially explain the decreased R&D productivity of pharmaceutical industry since the last decade.     

Characteristics and impact of grant-funded research: a case study of the library and information science field

This paper reports on a bibliometric study of the characteristics and impact of research in the library and information science (LIS) field which was funded through research grant programs, and compares it with research that received no extra funding. Seven core LIS journals were examined to identify articles published in 1998 that acknowledge research grant funding. The distribution of these articles by various criteria (e.g., topic, affiliation, funding agency) was determined. Their impact as indicated by citation counts during 1998–2008 was evaluated against that of articles without acknowledging extra funding and published in the same journals in the same year using citation data collected from Scopus’ Citation Tracker. The impact of grant-funded research as measured by citation counts was substantially higher than that of other research, both overall and in each journal individually. Scholars from outside LIS core institutions contributed heavily to grant-funded research. The two highest-impact publications by far reported non-grant-based research, and grant-based funding of research reported in core LIS journals was biased towards the information retrieval (IR) area, particularly towards research on IR systems. The percentage of articles reporting grant-funded research was substantially higher in information-oriented journals than in library-focused ones.     

Vitaly L. Ginzburg—A Bibliometric Study

In this study the impact of the works of Vitaly Ginzburg has been analyzed by bibliometric methods. The time-dependent number of mentions of his name, the overall citation impact and the citation numbers of single articles and books have been investigated. The impact time curves of his most frequently cited articles and books are presented and discussed. The scientific contributions of the most influential Ginzburg works are analyzed, in particular their impact on recent research.     

Detecting the knowledge structure of bioinformatics by mining full-text collections

Bioinformatics is a fast-growing, diverse research field that has recently gained much public attention. Even though there are several attempts to understand the field of bioinformatics by bibliometric analysis, the proposed approach in this paper is the first attempt at applying text mining techniques to a large set of full-text articles to detect the knowledge structure of the field. To this end, we use PubMed Central full-text articles for bibliometric analysis instead of relying on citation data provided in Web of Science. In particular, we develop text mining routines to build a custom-made citation database as a result of mining full-text. We present several interesting findings in this study. First, the majority of the papers published in the field of bioinformatics are not cited by others (63 % of papers received less than two citations). Second, there is a linear, consistent increase in the number of publications. Particularly year 2003 is the turning point in terms of publication growth. Third, most researches of bioinformatics are driven by USA-based institutes followed by European institutes. Fourth, the results of topic modeling and word co-occurrence analysis reveal that major topics focus more on biological aspects than on computational aspects of bioinformatics. However, the top 10 ranked articles identified by PageRank are more related to computational aspects. Fifth, visualization of author co-citation analysis indicates that researchers in molecular biology or genomics play a key role in connecting sub-disciplines of bioinformatics.     

Measuring the use of public research in firm R&D in the Hsinchu Science Park

Knowledge flow between public and private sectors is widely recognized as a way to stimulate innovation and regional development, particularly in science parks. This work employs a bibliometric approach, based on patent citation, non-patent citation, and public?Cprivate co-authorship of scientific publications to measure the use of public research in Hsinchu Science Park (HSP) in Taiwan. The result shows that the number of jointly published papers has increased constantly, implying the collaboration between HSP and universities has become more common. However, from the aspect of co-patenting, patent citation, and non-patent reference, technological innovation stemming from public research needs to be enhanced.     

How does scientific success relate to individual and organizational characteristics? A scientometric study of psychology researchers in the German-speaking countries

Purpose: To provide up-to-date bibliometric reference data describing the output and success of psychology researchers in the German-speaking countries, including lifetime publication and citation numbers, and to investigate associations of bibliometric measures with academic status and gender as well as the department characteristics of size and quota of senior researchers. Method Queried literature databases using an extensive online register of academic psychologists in the German-speaking countries, obtaining valid data for 85 % (N = 1742) of the population of interest. Findings Skewed distributions for publications and citations; maximum number of German-language (=native) publications much higher than maximum number of English-language publications; relatively large part of population publishing almost exclusively in German; publication count predictable by academic status, gender, department size, and quota of senior researchers; citation count predictable by publication count, status, department size, and quota of senior researchers; department characteristics interact with individual characteristics to produce specific conditions under which publication count and citation count are higher or lower than expected: combination of female gender, small department size and large quota of senior researchers is associated with particularly increased publication count; female gender and large department size are associated with decreased publication count; high publication count, large department size and low quota of senior researchers are associated with increased citation count; low publication count and large quota of senior researchers are associated with decreased citation count. Conclusions Reference values for scientific output provided in this study provide an anchor for monitoring and international comparison; despite considerable noise in data, we show that interactions of individual and organizational characteristics are relevant for scientific success and should be investigated further, e.g. by adopting various measures of organizational diversity and tracing a population longitudinally.     

Classic articles on social work field in Social Science Citation Index: a bibliometric analysis

This study aimed to identify and analyze characteristics of classic articles published in the Web of Science social work subject category from 1856 to 2011. Articles that have been cited at least 50 times were assessed regarding publication outputs, distribution of outputs in journals, publications of authors, institutions, countries as well as citation life cycles of articles with the highest total citations since its publication up to 2011 and the highest citations in 2011. Five bibliometric indicators were used to evaluate source countries, institutions, and authors. Results showed that 721 of the most highly referenced articles, published between 1957 and 2008, had been cited at least 50 times. Child Abuse & Neglect and American Journal of Community Psychology published the most classic articles. USA produced 89 % of classic articles and also published the most number of single, internationally collaborative, first author, and corresponding author classic articles. The top 38 productive institutions were all located in the US. The University of Illinois was the most productive institution for the total classic articles while University of California, Los Angeles produced the most inter-institutionally collaborative articles and Arizona State University published the most single institution articles. Furthermore, a new indicator, Y-index was successfully applied to evaluate publication characteristics of authors and institutions. High percentage of authors had the same numbers of first author and corresponding author status of classic articles in social work field.     

Research trends analysis by comparing data mining and customer relationship management through bibliometric methodology

There are few comprehensive studies and categorization schemes to discuss the characteristics for both data mining and customer relationship management (CRM) although they have already become more important recently. Using a bibliometric approach, this paper analyzes data mining and CRM research trends from 1989 to 2009 by locating headings “data mining” and “customer relationship management” or “CRM” in topics in the SSCI database. The bibliometric analytical technique was used to examine these two topics in SSCI journals from 1989 to 2009, we found 1181 articles with data mining and 1145 articles with CRM. This paper implemented and classified data mining and CRM articles using the following eight categories—publication year, citation, country/territory, document type, institute name, language, source title and subject area—for different distribution status in order to explore the differences and how data mining and CRM technologies have developed in this period and to analyze data mining and CRM technology tendencies under the above result. Also, the paper performs the K–S test to check whether the analysis follows Lotka’s law. The research findings can be extended to investigate author productivity by analyzing variables such as chronological and academic age, number and frequency of previous publications, access to research grants, job status, etc. In such a way characteristics of high, medium and low publishing activity of authors can be identified. Besides, these findings will also help to judge scientific research trends and understand the scale of development of research in data mining and CRM through comparing the increases of the article author. Based on the above information, governments and enterprises may infer collective tendencies and demands for scientific researcher in data mining and CRM to formulate appropriate training strategies and policies in the future. This analysis provides a roadmap for future research, abstracts technology trends and facilitates knowledge accumulations so that data mining and CRM researchers can save some time since core knowledge will be concentrated in core categories. This implies that the phenomenon “success breeds success” is more common in higher quality publications.     

The story behind Oncotarget? A bibliometric analysis

Being the most proliferative journal of oncology a cancer research of the past decade, the Open Access journal Oncotarget had reached more than 20,000 publications and a relatively high impact factor score in the past years. In 2018, the journal citation report decided to withdraw the status of an impact factor journal. Since there was a large discussion in the scientific community and specific reasons for the withdrawal were not stated, this bibliometric analysis was performed to assess if Oncotarget exhibits any differences in its bibliometric structure compared to other journals. For this purpose, we used the “New Quality and Quantity Indices in Sciences” platform and analyzed 20,000 Oncotarget articles. Density equalizing mapping technique helps to construct maps of cancer research in Oncotarget and shows that it has led to a unique global landscape which is not asymmetrically dominated by the Western hemisphere but exhibits a publishing architecture with a pronounced emphasis on Chinese articles.

     

National research contributions: A case study on Finnish biomedical research

The long-term influence and contribution of research can be evaluated relatively reliably by bibliometric citation analysis. Previously, productivity of nations has been estimated by using either the number of published articles or journal impact factors and/or citation data. These studies show certain trends, but detailed analysis is not possible due to the assumption that all articles in a journal were equally cited. Here we describe the first comprehensive, longterm, nationwide analysis of scientific performance. We studied the lifetime research output of 748 Finnish principal investigators in biomedicine during the years 1966–2000, analysed national trends, and made a comparison with international research production. Our results indicate that analyses of the scientific contribution of persons, disciplines, or nations should be based on actual publication and citation counts rather than on derived information like impact factors. 51% of the principal investigators have published altogether 75% of the articles; however, the whole scientific community has contributed to the growth of biomedical research in Finland since the Second World War.