This paper analyse the funding structure of seven countries that differ in their level of economic development, geo-political links, and R&D intensity (Brazil, Germany, The Netherlands, South... Show moreThis paper analyse the funding structure of seven countries that differ in their level of economic development, geo-political links, and R&D intensity (Brazil, Germany, The Netherlands, South Africa, South Korea, Spain and Sweden), in two biomedical disciplines (Cardiac & Cardiovascular Systems and Virology). The main objectives are (1)to provide a general overview of the research funding structure through the analysis of FAs recorded in publication, and (2) to explore what countries benefit more from international funding support, to what extent this support is associated to international collaboration and whether there are cross-country differences in the trend of countries to lead internationally funded research. Show less
Mongeon, P.; Xu, S.; Bowman, T.D.; Costas, R. 2018
The aim of this paper is to demonstrate how topical distance and social distance can provide meaningful results when analysing scholars’ tweets linking to scholarly publications. To do so, we... Show moreThe aim of this paper is to demonstrate how topical distance and social distance can provide meaningful results when analysing scholars’ tweets linking to scholarly publications. To do so, we analyse the social and topical distance between tweeted information science papers and their academic tweeters. This allows us to characterize the tweets of scientific papers, the tweeting behavior of scholars, and the relationship between tweets and citations. Show less
In this study the velocity of 12 Altmetric.com data sources in disseminating newly published research outputs is investigated. The Velocity Index is proposed to make a comparison of velocity among... Show moreIn this study the velocity of 12 Altmetric.com data sources in disseminating newly published research outputs is investigated. The Velocity Index is proposed to make a comparison of velocity among Altmetric.com data sources across document types and subject fields. Some altmetric posts accumulated very fast within the first few days after publication, such as Reddit, Twitter, News, and Facebook, while posts of Policy documents, Wikipedia, Q&A, and Peer review with low Velocity Index values accrued relatively slowly. Most data sources’ velocity degree also change by document types and subject fields. The velocity of most data sources confronted with the type of Review is lower than the overall and Article, while Editorial Material and Letter are higher. In general, most altmetric data sources show higher velocity values in the fields of Multidisciplinary Journals and Natural Sciences. Show less
We analyze the role of leadership and scientific collaborative relationships in constituting the disciplinary specialization between countries and its research performance. Authorship order... Show moreWe analyze the role of leadership and scientific collaborative relationships in constituting the disciplinary specialization between countries and its research performance. Authorship order provides critical information for the allocation of reward, while collaboration enables researchers to expand the network of co-authors, institutions, and countries involved in the research. Along with these factors, a country’s profile orientation within the global scientific market become of great importance to the development of countries. As bibliographic data embedded such important information about the changes in the position of authors in the byline of publications and the disciplines involved in the research, we analyze these changes over time—using a Web of Science dataset—to explore the extent to which collaboration relationships impact leadership and specialization on the scientific workforce. Using this data, we discern the importance of domestic and international outputs in determining the disciplinary structure in scientific relationships in terms of publications and citations. We found that different types of leadership translate in different results in terms of relative specialization and citations. Overall results show that non-leading internationally collaborative papers reach higher values than leading international and domestic papers especially remarkable in terms of citations. Although in general, all regions increase their performance when collaborating with leading partners, the largest differences in research performance by leadership are located in countries with the lowest investment in R&D. Countries with the highest research investment are more likely to serve as leaders and garner higher specialization and citations when they lead (domestic and lead authorship). Comparative analyses of the role of specialization between countries can be useful for informing policies and motivating further collaboration relationships in the definitions of research agendas. Show less
This article presents an exploratory analysis of which disciplines acknowledge more financial support (through funding acknowledgments - FA) and those whose publications attract more attention on... Show moreThis article presents an exploratory analysis of which disciplines acknowledge more financial support (through funding acknowledgments - FA) and those whose publications attract more attention on Twitter. We argue that such combined approach can provide interesting information for both funding bodies and policy makers about how funding activities and the attention in social media of scientific research relate to each other. Show less
Martín-Martín, A.; Costas, R.; Leeuwen, T. van; Delgado López-Cózar, E. 2018
The current ways in which documents are made freely accessible in the Web no longer adhere to the models established Budapest/Bethesda/Berlin (BBB) definitions of Open Access (OA). Since those... Show moreThe current ways in which documents are made freely accessible in the Web no longer adhere to the models established Budapest/Bethesda/Berlin (BBB) definitions of Open Access (OA). Since those definitions were established, OA-related terminology has expanded, trying to keep up with all the variants of OA publishing that are out there. However, the inconsistent and arbitrary terminology that is being used to refer to these variants are complicating communication about OA-related issues. This study intends to initiate a discussion on this issue, by proposing a conceptual model of OA. Our model features six different dimensions (authoritativeness, user rights, stability, immediacy, peer-review, and cost). Each dimension allows for a range of different options. We believe that by combining the options in these six dimensions, we can arrive at all the current variants of OA, while avoiding ambiguous and/or arbitrary terminology. This model can be an useful tool for funders and policy makers who need to decide exactly which aspects of OA are necessary for each specific scenario. Show less
The field of altmetrics has grown impressively since its inception in 2010 with the Altmetrics Manifesto (Priem, Taraborelli, Groth, & Neylon, 2010). We now have regular altmetric conferences... Show moreThe field of altmetrics has grown impressively since its inception in 2010 with the Altmetrics Manifesto (Priem, Taraborelli, Groth, & Neylon, 2010). We now have regular altmetric conferences where academic and commercial data analysts and providers meet. A number of non-profit and for-profit platforms provide altmetric data and summarize these data in visually appealing presentations. This growth of altmetrics is partly fueled by the problems encountered in both peer review and indicator-based assessments of scientific activities, and also by the easy availability of novel types of digital data on publication and communication behavior of researchers and scholars. In this paper, we review and reflect on the state of the art with respect to these new altmetric data and indicators in the context of the evaluation of scientific and scholarly performance. Show less
This study advances insights into the distribution of tweets captured by Altmetric.com in terms of the dates tweeting activity ensues. The following primary research question is investigated: When... Show moreThis study advances insights into the distribution of tweets captured by Altmetric.com in terms of the dates tweeting activity ensues. The following primary research question is investigated: When do tweeters tweet about scientific publications? For this work,the dataset in this study contained 25.2 million tweets, which were tweeted from January 2012 through December 2016. Those tweets referred to 3.3 million distinct scientific publications, which were published from 2012 onwards. In this work, tweet volume (TV)—tweets mentioning scientific publications in a specific time unit—and the publication volume (PV)—volume of distinct publications tweeted in a specific time unit—were calculated. The TV/PV ratio was calculated in order to measure the tweeting intensity in a given time unit. To observe differences in timely patterns, a heterogeneous selection of countries were selected, which included three Western European countries (the United Kingdom, the Netherlands, and Spain), a set of North African states (Morocco, Algeria, Tunisia, Libya and Egypt), as well as a representative of the Southern Hemisphere (South Africa). Results highlight the relevance of considering time dynamics of activity when studying social media metrics stemming from sources with a strong cultural or geographical component, as in the case of Twitter. Show less
