Étiquette : Philipp Mayr

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What happens when a journal converts to Open Access? A bibliometric analysis

Authors : Fakhri Momeni, Philipp Mayr, Nicholas Fraser, Isabella Peters

In recent years, increased stakeholder pressure to transition research to Open Access has led to many journals converting, or ‘flipping’, from a closed access (CA) to an open access (OA) publishing model.

Changing the publishing model can influence the decision of authors to submit their papers to a journal, and increased article accessibility may influence citation behaviour. In this paper we aimed to understand how flipping a journal to an OA model influences the journal’s future publication volumes and citation impact.

We analysed two independent sets of journals that had flipped to an OA model, one from the Directory of Open Access Journals (DOAJ) and one from the Open Access Directory (OAD), and compared their development with two respective control groups of similar journals. For bibliometric analyses, journals were matched to the Scopus database.

We assessed changes in the number of articles published over time, as well as two citation metrics at the journal and article level: the normalised impact factor (IF) and the average relative citations (ARC), respectively. Our results show that overall, journals that flipped to an OA model increased their publication output compared to journals that remained closed.

Mean normalised IF and ARC also generally increased following the flip to an OA model, at a greater rate than was observed in the control groups. However, the changes appear to vary largely by scientific discipline. Overall, these results indicate that flipping to an OA publishing model can bring positive changes to a journal.

URL : https://arxiv.org/abs/2103.14522

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Open Access Uptake in Germany 2010-18: Adoption in a diverse research landscape

Authors : Anne Hobert, Najko Jahn, Philipp Mayr, Birgit Schmidt, Niels Taubert

This study investigates the development of open access (OA) to journal articles from authors affiliated with German universities and non-university research institutions in the period 2010-2018.

Beyond determining the overall share of openly available articles, a systematic classification of distinct categories of OA publishing allows to identify different patterns of adoption to OA.

Taking into account the particularities of the German research landscape, variations in terms of productivity, OA uptake and approaches to OA are examined at the meso-level and possible explanations are discussed.

The development of the OA uptake is analysed for the different research sectors in Germany (universities, non-university research institutes of the Helmholtz Association, Fraunhofer Society, Max Planck Society, Leibniz Association, and government research agencies).

Combining several data sources (incl. Web of Science, Unpaywall, an authority file of standardised German affiliation information, the ISSN-Gold-OA 3.0 list, and OpenDOAR), the study confirms the growth of the OA share mirroring the international trend reported in related studies.

We found that 45% of all considered articles in the observed period were openly available at the time of analysis. Our findings show that subject-specific repositories are the most prevalent OA type. However, the percentages for publication in fully OA journals and OA via institutional repositories show similarly steep increases.

Enabling data-driven decision-making regarding OA implementation in Germany at the institutional level, the results of this study furthermore can serve as a baseline to assess the impact recent transformative agreements with major publishers will likely have on scholarly communication.

URL : Open Access Uptake in Germany 2010-18: Adoption in a diverse research landscape

DOI : https://doi.org/10.5281/zenodo.3892950

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The relationship between bioRxiv preprints, citations and altmetrics

Authors : Nicholas Fraser, Fakhri Momeni, Philipp Mayr, Isabella Peters

A potential motivation for scientists to deposit their scientific work as preprints is to enhance its citation or social impact. In this study we assessed the citation and altmetric advantage of bioRxiv, a preprint server for the biological sciences.

We retrieved metadata of all bioRxiv preprints deposited between November 2013 and December 2017, and matched them to articles that were subsequently published in peer-reviewed journals.

Citation data from Scopus and altmetric data from Altmetric.com were used to compare citation and online sharing behavior of bioRxiv preprints, their related journal articles, and nondeposited articles published in the same journals. We found that bioRxiv-deposited journal articles had sizably higher citation and altmetric counts compared to nondeposited articles.

Regression analysis reveals that this advantage is not explained by multiple explanatory variables related to the articles’ publication venues and authorship. Further research will be required to establish whether such an effect is causal in nature.

bioRxiv preprints themselves are being directly cited in journal articles, regardless of whether the preprint has subsequently been published in a journal. bioRxiv preprints are also shared widely on Twitter and in blogs, but remain relatively scarce in mainstream media and Wikipedia articles, in comparison to peer-reviewed journal articles.

DOI : https://doi.org/10.1162/qss_a_00043

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The effect of bioRxiv preprints on citations and altmetrics

Authors : Nicholas Fraser, Fakhri Momeni, Philipp Mayr, Isabella Peters

A potential motivation for scientists to deposit their scientific work as preprints is to enhance its citation or social impact, an effect which has been empirically observed for preprints in physics, astronomy and mathematics deposited to arXiv. In this study we assessed the citation and altmetric advantage of bioRxiv, a preprint server for the biological sciences.

We retrieved metadata of all bioRxiv preprints deposited between November 2013 and December 2017, and matched them to articles that were subsequently published in peer-reviewed journals. Citation data from Scopus and altmetric data from Altmetric.com were used to compare citation and online sharing behaviour of bioRxiv preprints, their related journal articles, and non-deposited articles published in the same journals.

We found that bioRxiv-deposited journal articles received a sizeable citation and altmetric advantage over non-deposited articles. Regression analysis reveals that this advantage is not explained by multiple explanatory variables related to the article and its authorship.

bioRxiv preprints themselves are being directly cited in journal articles, regardless of whether the preprint has been subsequently published in a journal. bioRxiv preprints are also shared widely on Twitter and in blogs, but remain relatively scarce in mainstream media and Wikipedia articles, in comparison to peer-reviewed journal articles.

URL : https://www.biorxiv.org/content/10.1101/673665v1

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From closed to open access: A case study of flipped journals

Authors : Fakhri Momeni, Nicholas Fraser, Isabella Peters, Philipp Mayr

In recent years, increased stakeholder pressure to transition research to Open Access has led to many journals “flipping” from a toll access to an open access publishing model. Changing the publishing model can influence the decision of authors to submit their papers to a journal, and increased article accessibility may influence citation behaviour.

The aim of this paper is to show changes in the number of published articles and citations after the flipping of a journal. We analysed a set of 171 journals in the Web of Science (WoS) which flipped to open access.

In addition to comparing the number of articles, average relative citation (ARC) and normalized impact factor (IF) are applied, respectively, as bibliometric indicators at the article and journal level, to trace the transformation of flipped journals covered.

Our results show that flipping mostly has had positive effects on journal’s IF. But it has had no obvious citation advantage for the articles. We also see a decline in the number of published articles after flipping.

We can conclude that flipping to open access can improve the performance of journals, despite decreasing the tendency of authors to submit their articles and no better citation advantages for articles.

URL : https://arxiv.org/abs/1903.11682

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Highly cited references in PLOS ONE and their in-text usage over time

Authors : Wolfgang Otto, Behnam Ghavimi, Philipp Mayr, Rajesh Piryani, Vivek Kumar Singh

In this article, we describe highly cited publications in a PLOS ONE full-text corpus. For these publications, we analyse the citation contexts concerning their position in the text and their age at the time of citing.

By selecting the perspective of highly cited papers, we can distinguish them based on the context during citation even if we do not have any other information source or metrics.

We describe the top cited references based on how, when and in which context they are cited. The focus of this study is on a time perspective to explain the nature of the reception of highly cited papers.

We have found that these references are distinguishable by the IMRaD sections of their citation. And further, we can show that the section usage of highly cited papers is time-dependent.

The longer the citation interval, the higher the probability that a reference is cited in a method section.

URL : https://arxiv.org/abs/1903.11693

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Automatically Annotating Articles Towards Opening and Reusing Transparent Peer Reviews

Authors : Afshin Sadeghi, Sarven Capadisli, Johannes Wilm, Christoph Lange, Philipp Mayr

An increasing number of scientific publications are created in open and transparent peer review models: a submission is published first, and then reviewers are invited, or a submission is reviewed in a closed environment but then these reviews are published with the final article, or combinations of these.

Reasons for open peer review include giving better credit to reviewers and enabling readers to better appraise the quality of a publication. In most cases, the full, unstructured text of an open review is published next to the full, unstructured text of the article reviewed.

This approach prevents human readers from getting a quick impression of the quality of parts of an article, and it does not easily support secondary exploitation, e.g., for scientometrics on reviews.

While document formats have been proposed for publishing structured articles including reviews, integrated tool support for entire open peer review workflows resulting in such documents is still scarce.

We present AR-Annotator, the Automatic Article and Review Annotator which employs a semantic information model of an article and its reviews, using semantic markup and unique identifiers for all entities of interest.

The fine-grained article structure is not only exposed to authors and reviewers but also preserved in the published version. We publish articles and their reviews in a Linked Data representation and thus maximize their reusability by third-party applications.

We demonstrate this reusability by running quality-related queries against the structured representation of articles and their reviews.

URL : https://arxiv.org/abs/1812.01027