The present study explored tendencies of the world’s countries—at individual and scientific development levels—toward publishing in APC-funded open access journals.
Using a bibliometric method, it studied OA and NOA articles issued in Springer and Elsevier’s APC journals during 2007–2011. The data were gathered using a wide number of sources including Sherpa/Romeo, Springer Author-mapper, Science Direct, Google, and journals’ websites.
The Netherlands, Norway, and Poland ranked highest in terms of their OA shares. This can be attributed to the financial resources allocated to publication in general, and publishing in OA journals in particular, by the countries.
All developed countries and a large number of scientifically lagging and developing nations were found to publish OA articles in the APC journals. The OA papers have been exponentially growing across all the countries’ scientific groups annually.
Although the advanced nations published the lion’s share of the OA-APC papers and exhibited the highest growth, the underdeveloped groups have been displaying high OA growth rates.
Given the reliance of the APC model on authors’ affluence and motivation, its affordability and sustainability have been challenged.
This communication helps understand how countries at different scientific development and thus wealth levels contribute to the model.
This is the first study conducted at macro level clarifying countries’ contribution to the APC model—at individual and scientific-development levels—as the ultimate result of the interaction between authors’ willingness, the model affordability, and publishers and funding agencies’ support.
Authors : Alberto Martín-Martín, Rodrigo Costas, Thed van Leeuwen, Emilio López-Cózar
This article uses Google Scholar (GS) as a source of data to analyse Open Access (OA) levels across all countries and fields of research. All articles and reviews with a DOI and published in 2009 or 2014 and covered by the three main citation indexes in the Web of Science (2,269,022 documents) were selected for study.
The links to freely available versions of these documents displayed in GS were collected. To differentiate between more reliable (sustainable and legal) forms of access and less reliable ones, the data extracted from GS was combined with information available in DOAJ, CrossRef, OpenDOAR, and ROAR.
This allowed us to distinguish the percentage of documents in our sample that are made OA by the publisher (23.1%, including Gold, Hybrid, Delayed, and Bronze OA) from those available as Green OA (17.6%), and those available from other sources (40.6%, mainly due to ResearchGate).
The data shows an overall free availability of 54.6%, with important differences at the country and subject category levels. The data extracted from GS yielded very similar results to those found by other studies that analysed similar samples of documents, but employed different methods to find evidence of OA, thus suggesting a relative consistency among methods.
This report details population-level measurements of the open access (OA) availability of publications indexed in two bibliometric databases—the Web of Science (WoS) by Clarivate Analytics and Scopus by Elsevier. This was achieved by matching the bibliometric database populations to the 1science database to determine the availability of the papers in OA form.
A comparative analysis of the recall and precision levels of the 1science database was performed using Scopus and the WoS. This helped to characterize the 1science database. Two policy-relevant indicators were selected for in-depth analyses: country affiliation of authors on publications, and scientific disciplines. These indicators were selected because they are very frequently used in bibliometric studies, including those performed by the National Science Foundation (NSF), and they appear in the NSF’s Science and Engineering Indicators.
Authors : Rodrigo Costas, Jeroen van Honk, Thomas Franssen
In this paper we present a novel methodology for identifying scholars with a Twitter account. By combining bibliometric data from Web of Science and Twitter users identified by Altmetric.com we have obtained the largest set of individual scholars matched with Twitter users made so far.
Our methodology consists of a combination of matching algorithms, considering different linguistic elements of both author names and Twitter names; followed by a rule-based scoring system that weights the common occurrence of several elements related with the names, individual elements and activities of both Twitter users and scholars matched.
Our results indicate that about 2% of the overall population of scholars in the Web of Science is active on Twitter. By domain we find a strong presence of researchers from the Social Sciences and the Humanities. Natural Sciences is the domain with the lowest level of scholars on Twitter.
Researchers on Twitter also tend to be younger than those that are not on Twitter. As this is a bibliometric-based approach, it is important to highlight the reliance of the method on the number of publications produced and tweeted by the scholars, thus the share of scholars on Twitter ranges between 1% and 5% depending on their level of productivity. Further research is suggested in order to improve and expand the methodology.
Authors : Aurelio Patelli, Giulio Cimini, Emanuele Pugliese, Andrea Gabrielli
Determining how scientific achievements influence the subsequent process of knowledge creation is a fundamental step in order to build a unified ecosystem for studying the dynamics of innovation and competitiveness.
Yet, relying separately on data about scientific production on one side, through bibliometric indicators, and about technological advancements on the other side, through patents statistics, gives only a limited insight on the key interplay between science and technology which, as a matter of fact, move forward together within the innovation space.
In this paper, using citation data of both scientific papers and patents, we quantify the direct impact of the scientific outputs of nations on further advancements in science and on the introduction of new technologies.
Our analysis highlights the presence of geo-cultural clusters of nations with similar innovation system features, and unveils the heterogeneous coupled dynamics of scientific and technological success.
This study represents a first step in the buildup of a comprehensive framework for knowledge creation and innovation.
The study aims to investigate the relationships between consumption of e-journals distributed by Elsevier ScienceDirect platform, publication (articles) and impact (citations) in a sample of 13 French universities, from 2003 to 2009.
It adopts a value perspective as it questions whether or not publication activity and impact are some kind of return led by consumption. A bibliometric approach was used to explore the relations between these three variables.
The analysis developed indicators inspired by the mathematical h-Index technique. Results show that the relation between consumption, publication and citations depends on the discipline’s profile, the intensity of research and the size of each institution.
Moreover, although relations have been observed between the three variables, it is not possible to determine which variable comes first to explain the phenomena. The study concludes by showing strong correlations, which nevertheless do not lead to clear causal relations.
The article provide practical implication for academic library managers who want to show the added value of their electronic e-journals collections can replicate the study approach. Also for policy makers who want to take into account e-journals usage as an informative tool to predict the importance of publication activity.
Originality: The study is the first French contribution to e-journal value studies. Its originality consists in developing a value viewpoint that relies on a bibliometric approach.