Link-based approach to study scientific software usage: the case of VOSviewer

Enrique Orduña-Malea,Rodrigo Costas

doi:10.1007/s11192-021-04082-y

Enrique Orduña-Malea, Rodrigo Costas

Open Access

https://doi.org/10.1007/s11192-021-04082-y

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Abstract

Scientific software is a fundamental player in modern science, participating in all stages of scientific knowledge production. Software occasionally supports the development of trivial tasks, while at other instances it determines procedures, methods, protocols, results, or conclusions related with the scientific work. The growing relevance of scientific software as a research product with value of its own has triggered the development of quantitative science studies of scientific software. The main objective of this study is to illustrate a link-based webometric approach to characterize the online mentions to scientific software across different analytical frameworks. To do this, the bibliometric software VOSviewer is used as a case study. Considering VOSviewer’s official website as a baseline, online mentions to this website were counted in three different analytical frameworks: academic literature via Google Scholar (988 mentioning publications), webpages via Majestic (1,330 mentioning websites), and tweets via Twitter (267 mentioning tweets). Google scholar mentions shows how VOSviewer is used as a research resource, whilst mentions in webpages and tweets show the interest on VOSviewer’s website from an informational and a conversational point of view. Results evidence that URL mentions can be used to gather all sorts of online impacts related to non-traditional research objects, like software, thus expanding the analytical scientometric toolset by incorporating a novel digital dimension.

Highlights

Scientific‐purpose software as a non‐traditional academic outputSoftware is an essential component in the ecosystem of modern Science, in those disciplines that follow a data-driven paradigm, guided by the ongoing generation, availability, and consumption of high volumes of scientific data (Hey, Tansley & Tolle 2009; Li & Yan, 2018)
Scientific software has a direct effect on the validity of scientific results, since replacing the software could in turn lead to replacing an underlying procedure or logic assumption (Hannay et al, 2009; Howison & Herbsleb, 2011; Li et al, 2017; Yang et al, 2018)
Analyzing the geo-location of IP addresses of each website’s web domain, we find 3,849 webpages from 91 websites hosted in Netherlands

Summary

Introduction

Software is an essential component in the ecosystem of modern Science, in those disciplines that follow a data-driven paradigm, guided by the ongoing generation, availability, and consumption of high volumes of scientific data (Hey, Tansley & Tolle 2009; Li & Yan, 2018). Software is used in all stages of academic work (Howison et al, 2015), from annotating preliminary ideas to processing large volumes of data or disseminating research results. Scientific software can play important roles in processes related to data collection, management, formatting, analysis, modelling, simulation, prediction, visualization, and dissemination (Howison et al, 2015; Pan et al, 2017), becoming essential in the scientific discovery process (Pradal et al, 2013). Scientific software has a direct effect on the validity of scientific results, since replacing the software could in turn lead to replacing an underlying procedure or logic assumption (Hannay et al, 2009; Howison & Herbsleb, 2011; Li et al, 2017; Yang et al, 2018)

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