-
Asian countries with their GDP per capita, spending on R&D as% of total GDP, ...
Main sources of retrieving information [6]–[8], Data expressed as Mean±SEM. -
Kendall’s rank correlation coefficient between GDP per capita, spending on R&...
τ (tau) = Kendall’s rank correlation coefficient. p = p value. -
The ten institutions hosting the most TED presenters.
The ten institutions hosting the most TED presenters. -
r37980778c78--80d46848adff9de46716425744829c02
The following table shows a variety of network measures for 2 different bibliographic databases (PubMed and USPTO) construed in 3 different ways. The label Disambiguated refers... -
r37980778c78--10754e9f90b34a57937aae2da666632f
The percentage of publicly available scholarly documents found in Google Scholar. -
The number of operations required for each simulation in Figures 3, 4, 6, and...
The number of operations required for each simulation in Figures 3, 4, 6, and 7 corresponding to the number of name instances eligible for identity change. -
r37980778c78--a8a4d732a854b53c43e2c6782a149aca
Brazilian CS graduate programs ranked using different metrics. -
GEO_dataset_attributes.csv
One row for every GEO dataset reuse detected by searching PMC for GEO accession numbers. Columns list GEO accession, gse number, gds number, related submit_pmids, identified... -
Bibliometrics in practice: how to generate reports for institutions
In an institutional context and at a professional level, one of our main tasks is to carry out bibliometric reports; actually these studies are essential because they are used... -
Societal Impact
Recently there is an increasing pressure on the development of indicators and methodologies that can offer evidences of the societal impact of researchers’ activity. This... -
To Optimize Or Not To Optimize One'S H-Index – That Is The Question…
The h-index is an author-level metric that attempts to measure both the productivity, and the citation impact of scholarly publications. When proposing the h-index in his... -
Poster: Assessing citation network clustering as indicator normalization tool
Poster presentation given at ISSI 2019 conference and the related paper. In these, we describe our effort, motivated by the 2019 research assessment of the University of... -
dedup_wf_001--40e5605f97dcc78eb6f65ebda958be38
(a) The purpose of this paper is to present perceived and latent barriers to the discovery of and access to the social sciences and humanities journal literature published in... -
Collaboration Profiling in UK Higher Education
Poster by Tim Evans (Imperial College London), Karen Gurney of Evidence (a division of ThomsonReuters) and Daniel Hook of Symplectic Ltd, Imperial College and Washington... -
Journal impact measures: the Impact factor
The seminar on impact measures will first shed light on the best known and most controversial indicator, namely Garfield’s Journal Impact Factor. Its strengths and weaknesses as... -
dedup_wf_001--6654a498ecfd25895557eb684230bfc4
Recently, there has been a shift in attitudes against improper use of metrics to evaluate research. In our effort to develop alternative approaches to identify relevant... -
Productivity, impact, and collaboration differences between transdisciplinary...
: Transdisciplinary (TD) approaches are increasingly used to address complex public health problems such as childhood obesity. Compared to traditional grant-funded scientific... -
Mean performance of the cNB classifier by systematic review and feature set.
aBaseline F3 (%): Ameloblastoma = 40.20; Influenza = 38.96; Galactomannan = 31.00; Malaria = 58.82; Organ transplant = 32.03. All mean F3 values surpassed the baseline values,... -
Feature set size by systematic review before and after filtering for informat...
aIG = information gain.bSR = systematic review.cA and B refer to random halves of the data.
