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S P J M Horbach, W Halffman
There is a mounting worry about erroneous and outright fraudulent research that gets published in the scientific literature. Although peer review's ability to filter out such publications is contentious, several peer review innovations attempt to do just that. However, there is very little systematic evidence documenting the ability of different review procedures to flag problematic publications. In this article, we use survey data on peer review in a wide range of journals to compare the retraction rates of specific review procedures, using the Retraction Watch database...
2019: Scientometrics
Katy Börner, Adam H Simpson, Andreas Bueckle, Robert L Goldstone
Most maps of science use a network layout; few use a landscape metaphor. Human users are trained in reading geospatial maps, yet most have a hard time reading even simple networks. Prior work using general networks has shown that map-based visualizations increase recall accuracy of data. This paper reports the result of a comparison of two comparable renderings of the UCSD map of science that are: the original network layout and a novel hexmap that uses a landscape metaphor to layout the 554 subdisciplines grouped into 13 color-coded disciplines of science...
February 2018: Scientometrics
Miriam Palacios-Callender, Stephen A Roberts
The global network of scientific collaboration created by researchers opens new opportunities for developing countries to engage in the process of knowledge creation historically lead by institutions in the developed world. The results discussed here explore how Cubans working in European science and technology might contribute to extending the scientific collaboration of the country through their ties with Cuban institutions mainly in the academic sector. A bibliometric method was used to explore the pattern of collaboration of Cuban researchers in Europe using the institutional affiliation of authors and collaborators...
2018: Scientometrics
Olesia Iefremova, Kamil Wais, Marcin Kozak
Biographical articles in scientific journals offer a platform for the commemoration of distinguished individuals from the world of science. Despite so important a role for the scientific community, research on biographical articles is scarce. To fill this gap, we have analyzed 190,350 biographical articles indexed in Web of Science, written by 251,908 authors in 1945-2014. We have analyzed the development of this article type over the studied period and research areas, how women and men are represented in the subject of articles, and who the authors are...
2018: Scientometrics
Monica Aniela Zaharie, Marco Seeber
Editors of scientific journals meet increasing challenges to find peer reviewers. Rewarding reviewers has been proposed as a solution to incentives peer review, and journals have already started to offer different kinds of rewards, particularly non-monetary ones. However, research so far has mainly explored the efficacy of monetary rewards, while research on non-monetary rewards is barely absent. The goal of this article is to fill this gap by exploring whether and under what conditions a rather common non-monetary reward employed by journals, i...
2018: Scientometrics
Jefferson Seide Molléri, Kai Petersen, Emilia Mendes
The importance of achieving high quality in research practice has been highlighted in different disciplines. At the same time, citations are utilized to measure the impact of academic researchers and institutions. One open question is whether the quality in the reporting of research is related to scientific impact, which would be desired. In this exploratory study we aim to: (1) Investigate how consistently a scoring rubric for rigor and relevance has been used to assess research quality of software engineering studies; (2) Explore the relationship between rigor, relevance and citation count...
2018: Scientometrics
René Lezama-Nicolás, Marisela Rodríguez-Salvador, Rosa Río-Belver, Iñaki Bildosola
While novel technologies have tremendous competitive potential, they also involve certain risks. Maturity assessment analyzes how well a technological development can fulfill an expected task. The technology readiness level (TRL) has been considered to be one of the most promising approaches for addressing technological maturity. Nonetheless, its assessment requires opinions of the experts, which is costly and implies the risk of personal bias. To fill this gap, this paper presents a Bibliometric Method for Assessing Technological Maturity (BIMATEM)...
2018: Scientometrics
Joaquín M Azagra-Caro, Elena M Tur
Indicators based on the probability of applicant citations in patents have been used to emphasize the importance of distinguishing applicant and examiner citations. However, the interpretation of these indicators and of the presence of applicant citations in European Patent Office (EPO) examiner reports is still uncertain. Based on interviews with patent examiners and patent applicants, we develop the idea that applicant citations in EPO examiner reports indicate examiner trust in applicants, and that this trust varies according to national patterns...
2018: Scientometrics
Nina Lykke
The article is an invited comment on Guy Madison and Therese Söderlund (M&S): Comparisons of content and scientific quality indicators across peer-reviewed journal articles with more or less gender perspective: Gender studies can do better. Scientometrics 115(3):1161-1183. The article pinpoints a series of serious problems in M&S's quantitative quality assessment and analysis of the field of gender studies, pertaining to their overall conceptual framework, their general approach and their specific analysis...
2018: Scientometrics
Christian Herzog, Brian Kierkegaard Lunn
With Dimensions, Digital Science provides the research community a new approach on research related information, bringing formerly siloed content types such as grants, patents, clinical trials with publications and citations together, making it as openly available as possible (see Due to the different content types, (controversial) journal based classifications were not an option since it would not allow to categorise grants etc. Hence Digital Science opted for applying a categorisation approach using machine learning and based on the content of the documents and well established classification systems for which a training set was available...
2018: Scientometrics
R Basurto-Flores, L Guzmán-Vargas, S Velasco, A Medina, A Calvo Hernandez
Our aim is to illustrate how the thermodynamics-based concept of entropy has spread across different areas of knowledge by analyzing the distribution of papers, citations and the use of words related to entropy in the predefined Scopus categories. To achieve this, we analyze the Scopus papers database related to entropy research during the last 20 years, collecting 750 K research papers which directly contain or mention the word entropy. First, some well-recognized works which introduced novel entropy-related definitions are monitored...
2018: Scientometrics
Balázs Győrffy, Andrea Magda Nagy, Péter Herman, Ádám Török
The Momentum program launched in 2009 provides funding of up to 1 million Euro to establish new, independent research groups at Hungarian academic institutions. Here, our aim was to determine factors associated with the scientific output of these research groups. Publication data were downloaded from the Hungarian Scientific Work Archive (, impact factor data were obtained from Thomson Reuters (, and journal ranks were extracted from the Scimago Journal Rank database (www...
2018: Scientometrics
Peter van den Besselaar, Ulf Sandström, Hélène Schiffbaenker
Peer and panel review are the dominant forms of grant decision-making, despite its serious weaknesses as shown by many studies. This paper contributes to the understanding of the grant selection process through a linguistic analysis of the review reports. We reconstruct in that way several aspects of the evaluation and selection process: what dimensions of the proposal are discussed during the process and how, and what distinguishes between the successful and non-successful applications? We combine the linguistic findings with interviews with panel members and with bibliometric performance scores of applicants...
2018: Scientometrics
Loet Leydesdorff
The dilemma which remained unsolved using Rao-Stirling diversity, namely of how variety and balance can be combined into "dual concept diversity" (Stirling in SPRU electronic working paper series no. 28., 1998, p. 48f.) can be clarified by using Nijssen et al.'s (Coenoses 13(1):33-38 1998) argument that the Gini coefficient is a perfect indicator of balance. However, the Gini coefficient is not an indicator of variety; this latter term can be operationalized independently as relative variety...
2018: Scientometrics
Francisco Grimaldo, Mario Paolucci, Jordi Sabater-Mir
We present an agent-based model of paper publication and consumption that allows to study the effect of two different evaluation mechanisms, peer review and reputation, on the quality of the manuscripts accessed by a scientific community. The model was empirically calibrated on two data sets, mono- and multi-disciplinary. Our results point out that disciplinary settings differ in the rapidity with which they deal with extreme events-papers that have an extremely high quality, that we call outliers. In the mono-disciplinary case, reputation is better than traditional peer review to optimize the quality of papers read by researchers...
2018: Scientometrics
Federico Bianchi, Francisco Grimaldo, Giangiacomo Bravo, Flaminio Squazzoni
This paper looks at peer review as a cooperation dilemma through a game-theory framework. We built an agent-based model to estimate how much the quality of peer review is influenced by different resource allocation strategies followed by scientists dealing with multiple tasks, i.e., publishing and reviewing. We assumed that scientists were sensitive to acceptance or rejection of their manuscripts and the fairness of peer review to which they were exposed before reviewing. We also assumed that they could be realistic or excessively over-confident about the quality of their manuscripts when reviewing...
2018: Scientometrics
Kevin Heffernan, Simone Teufel
Research is often described as a problem-solving activity, and as a result, descriptions of problems and solutions are an essential part of the scientific discourse used to describe research activity. We present an automatic classifier that, given a phrase that may or may not be a description of a scientific problem or a solution, makes a binary decision about problemhood and solutionhood of that phrase. We recast the problem as a supervised machine learning problem, define a set of 15 features correlated with the target categories and use several machine learning algorithms on this task...
2018: Scientometrics
Robin Haunschild, Lutz Bornmann
Thelwall (J Informetr 11(1):128-151, 2017a. 10.1016/j.joi.2016.12.002; Web indicators for research evaluation: a practical guide. Morgan and Claypool, London, 2017b) proposed a new family of field- and time-normalized indicators, which is intended for sparse data. These indicators are based on units of analysis (e.g., institutions) rather than on the paper level. They compare the proportion of mentioned papers (e.g., on Twitter) of a unit with the proportion of mentioned papers in the corresponding fields and publication years...
2018: Scientometrics
Takahiro Kawamura, Katsutaro Watanabe, Naoya Matsumoto, Shusaku Egami, Mari Jibu
Maps of science representing the structure of science can help us understand science and technology (S&T) development. Studies have thus developed techniques for analyzing research activities' relationships; however, ongoing research projects and recently published papers have difficulty in applying inter-citation and co-citation analysis. Therefore, in order to characterize what is currently being attempted in the scientific landscape, this paper proposes a new content-based method of locating research projects in a multi-dimensional space using the recent word/paragraph embedding techniques...
2018: Scientometrics
Lutz Bornmann, Adam Y Ye, Fred Y Ye
"Hot papers" (HPs) are papers which received a boost of citations shortly after publication. Papers with "delayed recognition" (DRs) received scarcely impact over a long time period, before a considerable citation boost started. DRs have attracted a lot of attention in scientometrics and beyond. Based on a comprehensive dataset with more than 5,000,000 papers published between 1980 and 1990, we identified HPs and DRs. In contrast to many other studies on DRs, which are based on raw citation counts, we calculated dynamically field-normalized impact scores for the search of HPs and DRs...
2018: Scientometrics
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