The term citizen science refers to a broad set of practices developed in a growing number of areas of knowledge and characterized by the active citizen participation in some or several stages of the research process. Definitions, classifications and terminology remain open, reflecting that citizen science is an evolving phenomenon, a spectrum of practices whose classification may be useful but never

In our 2008 article, we have misinterpreted the interaction effects. As a result, we overestimate gender inequality.

Research collaboration among interdisciplinary teams has become a common trend in recent days. However, there is a lack of evidence in literature regarding which disciplines play dominant roles in interdisciplinary research settings. It is also unclear whether the dominant role of disciplines vary between STEM (Science, Technology, Engineering, and Mathematics) and non-STEM focused research. This study

This study is one of the first that uses the recently introduced open access (OA) labels in the Web of Science (WoS) metadata to investigate whether OA articles published in Directory of Open Access Journals (DOAJ) listed journals experience a citation advantage in comparison to subscription journal articles, specifically those of which no self-archived versions are available. Bibliometric data on

The nature of self-citation is not unequivocal as it fluctuates across the borders of approbation and condemnation. While it is tenable that scholars tend to build upon and thus appeal to their previous work, excessive self-citation is considered as a likely strategic tool to showcase one’s achievement, inflate citations, and distort bibliometric indices. The present study aimed to explore how self-citation

Patents are an important source of information for measuring the technological advancement of a specific knowledge domain. To facilitate the search for information in patent datasets, classification systems separate documents into groups according to the area of knowledge, and designate names to define their content. The increase in the number of patented inventions leads to the need to subdivide these

This article proposes an analysis of research dedicated to permafrost. Its originality is twofold: it covers a corpus (n = 16,249) that has never been reviewed before and also makes use of a methodology based on successive textual analysis processes. With the text-mining of additional corpuses, we produce lists of qualified terms to fine-tune the indexing of the main corpus and isolate relevant terminology

Technological knowledge can be created via R&D investments, but it can also be eroded through depreciation. Knowing how fast knowledge depreciates is important for various reasons for practitioners and decision makers alike; especially if it comes to questions regarding how to “recharge” knowledge production processes within an ever changing global system. In this study, we use patent citation data

In the wake of the unprecedented global scientific output boom, are top-tier journals such as the FT50 journals following suit? If these prestigious journals consistently increase their publication volumes, will their impact factors be affected? Drawing on the Mann–Kendall trend test method, this study analysed time series trends of the FT50 journals’ annual publication volumes and impact factor ratios

This paper presents a case study of long-term post-retraction citation to falsified clinical trial data (Matsuyama et al. in Chest 128(6):3817–3827, 2005. https://doi.org/10.1378/chest.128.6.3817), demonstrating problems with how the current digital library environment communicates retraction status. Eleven years after its retraction, the paper continues to be cited positively and uncritically to support

To describe the impact of the retracted publications on the scientific community more comprehensively, this paper introduces the impact of retracted publications on technology. It establishes a multi-dimensional observation framework for retracted publications from four dimensions, including scientific impact, technological impact, funding impact and Altmetric impact, and proposes the use of a novel

In this descriptive study, we aim to show the potential gender differences in academic success, focusing on the top (i.e., most frequently cited) scientists by analyzing the work of more than 94,000 scientists in 21 fields across 43 countries. Our results indicate that female representation in the top tier of scientists strongly varies between countries (11.83%; s.d. = 0.046), with the highest proportion

Existing approaches to model innovation ecosystems have been mostly restricted to qualitative and small-scale levels or, when relying on traditional innovation indicators such as patents and questionnaire-based survey, suffered from a lack of timeliness, granularity, and coverage. Websites of firms are a particularly interesting data source for innovation research, as they are used for publishing information

The COVID-19 pandemic has vast global consequences. Yet, effective mitigation strategies and economic and medical outfall differ extensively across the globe. It is currently unclear how well researchers from all continents are represented in the unsolicited and solicited publications. A literature review was performed in SCOPUS on COVID-19 oriented publications in the four most impactful medical journals

Journal impact factors and diachronic journal impact factors are currently calculated with the data along the rows and columns of the publication-citation matrix of a journal, respectively. The average publication-citation matrix can be obtained by dividing the elements of the publication-citation matrix by the number of papers published by a journal in a given year. Along the rows and columns of the

This paper analyzes the potential impact of reputational bias on academic classifications based upon current research performance measures. Empirical evidence supports the existence of a noticeable effect of reputational bias in the Academic Ranking of World Universities (ARWU), informally known as the Shanghai Ranking. Despite using reliable, objective data, the results of the ranking are partially

This study investigates a potential relationship between highly-cited scholarly papers and the number of citations received by other papers with which they share a journal issue. Citations received by 3675 articles across 484 issues published in three top information science journals are analyzed based on the condition of whether an article was published in an issue that includes a “highly-cited” paper

Web of Science Core Collection, one of the most authoritative bibliographic databases, is widely used in academia to track high-quality research. This database has begun to index online-first articles since December 2017. This new practice has introduced two different publication dates (online and final publication dates) into the database for more and more early access publications. It may confuse

Citation recommendation systems for the scientific literature, to help authors find papers that should be cited, have the potential to speed up discoveries and uncover new routes for scientific exploration. We treat this task as a ranking problem, which we tackle with a two-stage approach: candidate generation followed by reranking. Within this framework, we adapt to the scientific domain a proven

Predicting the possible development directions of a product is useful for planning innovative products. Therefore, a systematic approach based on link prediction is proposed in this study to predict possible development directions of a product. In this approach, a target product is represented as a set of cooperative patent classifications (i.e., product CPCs) contained in the patents related to the

This study is a scientometric analysis of doctoral theses defended in Spain and Portugal during the 1977–2018 period related to the Roma. The search of doctoral theses has been carried out using the main databases and repositories of Higher Education institutions, of which 237 doctoral theses have been registered for the study period. Different scientific indicators have been considered related to

The study of international collaborations can help in understanding the benefits of such relationships and aid in developing national financing policies. In this paper, the international collaboration of Brazilian scientists was studied using SciVal® and Incites® database, looking at its effect on the universities, financing agencies and different areas of knowledge and research topic clusters. Cluster

This study investigated the evolution of library and information science (LIS) by analyzing research topics in LIS journal articles. The analysis is divided into five periods covering the years 1996–2019. Latent Dirichlet allocation modeling was used to identify underlying topics based on 14,035 documents. An improved data-selection method was devised in order to generate a dynamic journal list that

The last decade has seen two significant phenomena emerge in research communication: the rise of open access (OA) publishing, and the easy availability of evidence of online sharing in the form of altmetrics. There has been limited examination of the effect of OA on online sharing for journal articles, and little for books. This paper examines the altmetrics of a set of 32,222 books (of which 5% are

In response to the increasing number and breadth of innovation studies on the pharmaceutical industry, we mapped the literature to show the trends in recent research and to indicate areas for further research. In the first phase, we analyzed articles on the pharmaceutical industry published in innovation journals. We used these articles’ textual and citation data and applied hybrid cluster analysis

After the groundbreaking works of Joseph Schumpeter, a burgeoning literature related to innovations emerged. As works in this tradition have progressed, the innovation literature has recognized that the keystone to stimulate innovation across all economies relies on Research and Development (R&D) activities. As well occur in all modern economies, innovation and R&D have drawn the attention of the academic

The h index has been comprehensively developed and diffusely applied following its initial proposal in 2005 by Jorge Hirsch. However, while the numbers of papers and authors measured continue to grow, it is not known whether such increases in quantity mean that the research itself is advancing. Accordingly, the present study sets out to establish an analysis method, based on the concept of entropy

The recent article by Rigby and Jones in Scientometrics (15-May-2020) again draws attention to basing PhD-theses on published works, in their case introducing the system into the Social Sciences and Humanities. In this short communication we endeavour to provide additional information that is essential for this debate.

Studies of bibliographic data suggest a strong correlation between the growth of citation networks and their corresponding co-authorship networks. We explore the interdependence between evolving citation and co-authorship networks focused on the publications, by Indian authors, in American Physical Society journals between 1970 and 2013. We record interactions between each possible pair of authors

This study aims to investigate whether open peer review can improve citation count. Articles published in PeerJ during 2013 and 2015 were chosen as the data set. Two categories of the articles were generated: articles with closed peer review history and articles with open peer review history. A propensity score matching with the radius matching method was performed using 14 confounding variables. The

We discuss the trend towards using quantitative metrics for evaluating research. We claim that, rather than promoting meaningful research, purely metric-based research evaluation schemes potentially lead to a dystopian academic reality, leaving no space for creativity and intellectual initiative. After sketching what the future could look like if quantitative metrics are allowed to proliferate, we

Different research traditions have developed over time to study the quantitative aspects of information and knowledge production, such as scientometrics, bibliometrics, librametrics, informetrics, cybermetrics, webometrics, or altmetrics. These information metrics, or iMetrics, as they were labeled by Milojević and Leydesdorff in Scientometrics 95(1):141–157, 2013, are unified by the usage of quantitative

The impact factor has been extensively used in the last years to assess journals visibility and prestige. While it is useful to compare journals, the specificities of subfields visibility in journals are overlooked whenever visibility is measured only at the journal level. In this paper, we analyze the subfields visibility in a subset of over 450,000 Physics papers. We show that the visibility of subfields

Finding a set of units that can serve as a reference for growth or improvement in positions within a ranking is not a simple task, since each ranking method can place the same unit in different positions and may even differ in relative position within the ranking. This study proposes a method that applies a combination of network analysis and efficiency methods to global university rankings. Complex

The relationship between basic research intensity and diversified performance is a very important problem that has not theoretically answered. Based on the panel data of universities directly under the ministry of education, considering the three missions of the university and the typical characteristics of basic research, we subdivide the diversified performance into innovation performance, economic

The objective of this study is to show the dynamics of the evolution on research of the generations by means of analysis of journal publications from the category of management and business from Clarivate Analytics Web of Science. Bibliometric analysis is used to unveil the authors, journals, institutions, and the most influential countries on the subject from 2001 to date. The most pertinent studies

Due to the exponential increase in research papers on a daily basis, finding and accessing related academic documents over the Internet is monotonous. One of the leading approaches was the use of recommendation systems to proactively recommend scholarly papers to individual researchers. The primary drawback to these methods, however, is that their success depends on user profile information and is

While bibliometric analysis is normally able to rely on complete publication sets this is not universally the case. For example, Australia (in ERA) and the UK (in the RAE/REF) use institutional research assessment that may rely on small or fractional parts of researcher output. Using the Category Normalised Citation Impact (CNCI) for the publications of ten universities with similar output (21,000–28

In this paper, we provide insight into the editorial process as seen from the perspective of journal editors. We study a dataset obtained from the Journal of the Serbian Chemical Society, which contains information about submitted and rejected manuscripts, in order to find differences between local (Serbian) and external (non-Serbian) submissions. We show that external submissions (mainly from India

The dark side leadership literature remains a highly relevant yet fragmented and ambiguous literature stream. Therefore, we conduct a bibliometric analysis using co-citation and pathfinder analysis to describe and visualize the intellectual origins of the field by combining predefined word lists with expert validation. Our results suggest that there are key authors as well as other distinctive characteristics

This document provides an analysis of bioeconomy research in South Africa and it discusses sources of growth in the country’s bioeconomy literature in general. We performed bibliometric analysis as indexed in the Web of Science (WoS) for number of South African authored publications and citations in bioeconomy, and compared them with Brazil, Russia, India and China (BRICS) and selected countries for

In this study, two indicators derived from references in papers were proposed to characterize the papers regarding technological relevance: (1) the number of reference papers that obtained citations from patents by the time of observation, i.e., the publication years of papers to be assessed (NR-PCP), and (2) the number of reference papers authored by the firms’ researchers (NR-FP). Next, the two indicators

The identification of one’s own research strengths is of crucial importance for research administration at universities. In this case study, two different approaches were applied to the University of Vienna. The first relies on funding and rankings information as well as on other esteem indicators. The second is based on a bibliometric analysis of the publication output. We used two alternative clusterings

Document screening is a fundamental task within Evidence-based Medicine (EBM), a practice that provides scientific evidence to support medical decisions. Several approaches have tried to reduce physicians’ workload of screening and labeling vast amounts of documents to answer clinical questions. Previous works tried to semi-automate document screening, reporting promising results, but their evaluation

Identifying the strengths and weaknesses of the scientific system is a concern of scientific policymakers in each country. This research aimed to present a methodology to detect the strong and weak points of science in various countries by adopting the method of economic complexity. Subsequently, the formulation mode of scientific diversification strategies of different countries is introduced using

Paper authorship and author placement have significant consequences for accountability and assignment of credit. Moreover, authors in different scientific fields tend to follow distinct approaches towards their ordering in scholarly publications. This manuscript presents a bibliometric study aiming to characterize the trends in the adoption of alphabetically ordered lists of authors in scholarly publications

Citations are not equally important. Researchers presented different models and techniques to identify important citations. However, the features used in these work are relatively limited, so they cannot achieve good recognition performance. This paper proposed a new machine learning framework to distinguish important and non-important citations by examining the syntactic and contextual information

Knowledge convergence is an important means of innovation. The study aims to explore how knowledge convergence influences innovation performance at an organizational level. Furthermore, we address the moderating role of network relational embeddedness on the innovation deriving from knowledge convergence. Our empirical analyses adopting negative binomial regression models employ patent counts and patent

The SARS-CoV-2 virus, which causes Covid-19, induced a global pandemic for which an effective cure, either in the form of a drug or vaccine, has yet to be discovered. In the few brief months that the world has known Covid-19, there has been an unprecedented volume of papers published related to this disease, either in a bid to find solutions, or to discuss applied or related aspects. Data from Clarivate

To what extent do the vocabularies of mathematics, computing, astronomy, physics, chemistry, biology, psychology, sociology, economics, political science, philosophy, and linguistics overlap? To explore this question, samples of the anglophone vocabularies of these subjects were created using the Oxford English Dictionary (Benjafield in Scientometrics 118:1051-1064, 2019. 10.1007/s11192-019-03021-2)

Among scientists who study scientific production, the relationship between the quantity of a scientist’s production and the quality of their work has long been a topic of empirical research and theoretical debate. One principal theoretical perspective on the quantity–quality relationship has been the equal odds baseline, which posits that a scientist’s number of high-quality products increases linearly

There are many factors that affect the probability of being uncited during the first years after publication. In this study, we analyze three of these factors for journals, conference proceedings and book series: the field (in 316 subject categories of the Scopus database), the access modality (open access vs. paywalled), and the visibility of the source (through the percentile of the average impact

This paper proposes keyword-citation-keyword (KCK) network to analyze the knowledge structure of a discipline. Different from traditional co-word network analysis, KCK network highlights the importance of keywords assigned in different articles, as well as the semantic relationship between keywords in various articles. In this study, we select computer science domain as an example to illustrate the

Studies around public–private partnerships (PPPs) have shaped a complex and colorful research field. A series of review studies have been performed to explore the knowledge base of this field. Despite their significant contributions, bibliometric research on the PPPs literature is still needed to capture more comprehensive, diverse and detailed information in this area from a holistic perspective,

Changes in patterns of collaboration between Russian universities after the commencement of the Russian university excellence initiative (Project 5-100) are studied in this paper. While this project aimed to make leading Russian universities more globally competitive and improve their research productivity, it also happened to increase their cooperation. An analysis of affiliations and the co-authorship

This study investigates how the alliance partners’ ego-network advantages, measured by the betweenness centrality, clustering coefficient and degree, affect focal firms’ ego-network advantages, innovation performance and the alliance stability. Under the exploitative innovation paradigm, alliance partners holding greater ego-network advantages would significantly improve focal firms’ ego-network advantages;

The COVID-19 pandemic has been characterized by an unprecedented amount of published scientific articles. The aim of this study is to assess the type of articles published during the first 3 months of the COVID-19 pandemic and to compare them with articles published during 2009 H1N1 swine influenza pandemic. Two operators independently extracted and assessed all articles on COVID-19 and on H1N1 swine

We study whether humans or machine learning (ML) classification models are better at classifying scientific research abstracts according to a fixed set of discipline groups. We recruit both undergraduate and postgraduate assistants for this task in separate stages, and compare their performance against the support vectors machine ML algorithm at classifying European Research Council Starting Grant

The recent 'outburst' of COVID-19 spurred efforts to model and forecast its diffusion patterns, either in terms of infections, people in need of medical assistance (ICU occupation) or casualties. Forecasting patterns and their implied end states remains cumbersome when few (stochastic) data points are available during the early stage of diffusion processes. Extrapolations based on compounded growth