Aligning Social Media Indicators with the Documents in an Open Access Repository

Authors: Luis Meneses, Alyssa Arbuckle, Hector Lopez, Belaid Moa, Richard Furuta, Ray Siemens

In this paper we describe our current efforts towards building a framework that extends the functionality of an Open Access Repository by implementing processes to incorporate the ongoing trends in social media into the context of a digital collection.

We refer to these processes collectively as the Social Media Engine. The purpose of our framework is twofold: first, we propose to challenge some of the preconceived notions of digital libraries by making repositories more dynamic; and second, by challenging this notion we want to promote public engagement and open scholarship.

As a work in progress, we believe that a real challenge lies in investigating the implications that these two points introduce within the context of the humanities.

URL : Aligning Social Media Indicators with the Documents in an Open Access Repository


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.


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.


Can Google Scholar and Mendeley help to assess the scholarly impacts of dissertations?

Authors : Kayvan Kousha, Mike Thelwall

Dissertations can be the single most important scholarly outputs of junior researchers. Whilst sets of journal articles are often evaluated with the help of citation counts from the Web of Science or Scopus, these do not index dissertations and so their impact is hard to assess.

In response, this article introduces a new multistage method to extract Google Scholar citation counts for large collections of dissertations from repositories indexed by Google.

The method was used to extract Google Scholar citation counts for 77,884 American doctoral dissertations from 2013-2017 via ProQuest, with a precision of over 95%. Some ProQuest dissertations that were dual indexed with other repositories could not be retrieved with ProQuest-specific searches but could be found with Google Scholar searches of the other repositories.

The Google Scholar citation counts were then compared with Mendeley reader counts, a known source of scholarly-like impact data. A fifth of the dissertations had at least one citation recorded in Google Scholar and slightly fewer had at least one Mendeley reader.

Based on numerical comparisons, the Mendeley reader counts seem to be more useful for impact assessment purposes for dissertations that are less than two years old, whilst Google Scholar citations are more useful for older dissertations, especially in social sciences, arts and humanities.

Google Scholar citation counts may reflect a more scholarly type of impact than that of Mendeley reader counts because dissertations attract a substantial minority of their citations from other dissertations.

In summary, the new method now makes it possible for research funders, institutions and others to systematically evaluate the impact of dissertations, although additional Google Scholar queries for other online repositories are needed to ensure comprehensive coverage.


Improving the discoverability and web impact of open repositories: techniques and evaluation

Author : George Macgregor

In this contribution we experiment with a suite of repository adjustments and improvements performed on Strathprints, the University of Strathclyde, Glasgow, institutional repository powered by EPrints 3.3.13.

These adjustments were designed to support improved repository web visibility and user engagement, thereby improving usage. Although the experiments were performed on EPrints it is thought that most of the adopted improvements are equally applicable to any other repository platform.

Following preliminary results reported elsewhere, and using Strathprints as a case study, this paper outlines the approaches implemented, reports on comparative search traffic data and usage metrics, and delivers conclusions on the efficacy of the techniques implemented.

The evaluation provides persuasive evidence that specific enhancements to technical aspects of a repository can result in significant improvements to repository visibility, resulting in a greater web impact and consequent increases in content usage.

COUNTER usage grew by 33% and traffic to Strathprints from Google and Google Scholar was found to increase by 63% and 99% respectively. Other insights from the evaluation are also explored.

The results are likely to positively inform the work of repository practitioners and open scientists.


A multidimensional perspective on the citation impact of scientific publications

Authors : Yi Bu, Ludo Waltman, Yong Huang

The citation impact of scientific publications is usually seen as a one-dimensional concept. We introduce a three-dimensional perspective on the citation impact of publications. In addition to the level of citation impact, quantified by the number of citations received by a publication, we also conceptualize and operationalize the depth and dependence of citation impact.

This enables us to make a distinction between publications that have a deep impact concentrated in one specific field of research and publications that have a broad impact scattered over different research fields.

It also allows us to distinguish between publications that are strongly dependent on earlier work and publications that make a more independent scientific contribution.

We present a large-scale empirical analysis of the level, depth, and dependence of the citation impact of publications. In addition, we report a case study focusing on publications in the field of scientometrics.

Our three-dimensional citation impact framework provides a more detailed understanding of the citation impact of a publication than a traditional one-dimensional perspective.


Readership Data and Research Impact

Authors : Ehsan Mohammadi, Mike Thelwall

Reading academic publications is a key scholarly activity. Scholars accessing and recording academic publications online are producing new types of readership data. These include publisher, repository, and academic social network download statistics as well as online reference manager records.

This chapter discusses the use of download and reference manager data for research evaluation and library collection development. The focus is on the validity and application of readership data as an impact indicator for academic publications across different disciplines.

Mendeley is particularly promising in this regard, although all data sources are not subjected to rigorous quality control and can be manipulated.