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Has large-scale named-entity network analysis been resting on a flawed assump...
: The assumption that a name uniquely identifies an entity introduces two types of errors: splitting treats one entity as two or more (because of name variants); lumping treats... -
A case study exploring associations between popular media attention of scient...
The association between mention of scientific research in popular media (e.g., the mainstream media or social media platforms) and scientific impact (e.g., citations) has yet to... -
BraX-Ray: an X-ray of the Brazilian computer science graduate programs.
Research productivity assessment is increasingly relevant for allocation of research funds. On one hand, this assessment is challenging because it involves both qualitative and... -
Word diffusion and climate science.
As public and political debates often demonstrate, a substantial disjoint can exist between the findings of science and the impact it has on the public. Using climate-change... -
Could early tweet counts predict later citation counts? A gender study in Lif...
In this study, it was investigated whether early tweets counts could differentially benefit female and male (first, last) authors in terms of the later citation counts received.... -
Who is the best player ever? A complex network analysis of the history of pro...
We consider all matches played by professional tennis players between 1968 and 2010, and, on the basis of this data set, construct a directed and weighted network of contacts.... -
International Scientific Collaboration in HIV and HPV: A Network Analysis
Research endeavours require the collaborative effort of an increasing number of individuals. International scientific collaborations are particularly important for HIV and HPV... -
Do Altmetrics Work? Twitter and Ten Other Social Web Services
Altmetric measurements derived from the social web are increasingly advocated and used as early indicators of article impact and usefulness. Nevertheless, there is a lack of... -
Resampling effects on significance analysis of network clustering and ranking.
Community detection helps us simplify the complex configuration of networks, but communities are reliable only if they are statistically significant. To detect statistically... -
Bibliometric Evidence for a Hierarchy of the Sciences
The hypothesis of a Hierarchy of the Sciences, first formulated in the 19(th) century, predicts that, moving from simple and general phenomena (e.g. particle dynamics) to... -
Survey on opinions and usage patterns for the ResearchGate platform
: Based on a survey, the following study investigates opinions and also usage patterns relating to the ResearchGate social networking site for scientists and researchers. The... -
Network Effects on Scientific Collaborations
Background: The analysis of co-authorship network aims at exploring the impact of network structure on the outcome of scientific collaborations and research publications.... -
Coauthorship and institutional collaborations on cost-effectiveness analyses:...
BACKGROUND: Cost-Effectiveness Analysis (CEA) has been promoted as an important research methodology for determining the efficiency of healthcare technology and guiding medical... -
How the Scientific Community Reacts to Newly Submitted Preprints: Article Dow...
We analyze the online response to the preprint publication of a cohort of 4,606 scientific articles submitted to the preprint database arXiv.org between October 2010 and May... -
Social media release increases dissemination of original articles in the clin...
A barrier to dissemination of research is that it depends on the end-user searching for or 'pulling' relevant knowledge from the literature base. Social media instead 'pushes'... -
Scholarometer: A Social Framework for Analyzing Impact across Disciplines
The use of quantitative metrics to gauge the impact of scholarly publications, authors, and disciplines is predicated on the availability of reliable usage and annotation data....
