Overlay maps based onMendeley data: The use of altmetrics for readership networks

Abstract

Visualization of scientific results using networks has become popular in scientometric research. We provide base maps for Mendeley reader count data using the publication year 2012 from the Web of Science data. Example networks are shown and explained. The reader can use our base maps to visualize other results with the VOSViewer. The proposed overlay maps are able to show the impact of publications in terms of readership data. The advantage of using our base maps is that it is not necessary for the user to produce a network based on all data (e.g., from 1 year), but can collect the Mendeley data for a single institution (or journals, topics) and can match them with our already produced information. Generation of such large-scale networks is still a demanding task despite the available computer power and digital data availability. Therefore, it is very useful to have base maps and create the network with the overlay technique.

Science through Wikipedia: A novel representation of open knowledge through co-citation networks

“…The methodology presented, which focuses on the co-citation of Wikipedia articles, offers holistic maps of the use of scientific information by Wikipedia users/editors who are not necessarily scientists. Therefore these maps represent the user's vision of scientific activity and in this sense they are close to other mapping methodologies that are not exclusively centered on citations but centered on the user-maps such as those based on Clickstream Data [41], readership network maps using Mendeley [42] or maps based on Co-Tweet [34]. By comparison with earlier research, the main novelties of the present study are that for the first time a source of information as important as Wikipedia has been used, several sources have been combined (Altmetrics, Scopus), and we have used Pathfinder, which is a much more efficient algorithm.…”

“…The 14 149 journals in our sample have a mean 42 to different scientific journals. So, there are five areas and each journal belongs to one or more of them with 3279 in "Social Sciences & Humanities", 3077 in "Health Sciences", 2489 in "Physical Sciences", 1298 in "Life Sciences" and 31 in "Multidisciplinary", while the rest belong to more than one area.…”

Strategic intelligence on emerging technologies: Scientometric overlay mapping

“…However, other contexts may not be so well provisioned, with implications for the utility of the approaches discussed here. The extension of an overlay mapping approach to other types of data sources represents an important challenge for future research, especially when one considers the increasing attention toward the use of big data and altmetrics (e.g., Bornmann & Haunschild, ; Thelwall, Haustein, Larivière, & Sugimoto, ). Social media data may yield interesting information on the dynamics of emerging technologies.…”

“…The extension of overlay mapping approach to other types of data sources represents an important challenge for future research especially when one considers the increasing attention towards the use of 'big data' and altmetrics (e.g. Bornmann and Haunschild, 2015;Thelwall et al, 2013). Social media data may yield interesting information.…”

Co‐saved, co‐tweeted, and co‐cited networks

“…The co‐saved networks gave useful insights into this field. A Mendeley co‐saved network of disciplines with associated articles and reviews from 2012 has also been created to visualize all disciplines and subdisciplines of science (Bornmann & Haunschild, ). For this, each article included in the libraries of users associated with two different subdisciplines counted as a connection between the two subdisciplines.…”