MODELI FINANCIRANJA BIBLIOMETRIJSKIH ISTRAŽIVANJA

To identify research funding patterns behind bibliometrics as a rapidly expanding science was the aim of the study presented in this paper. We analyzed funding information of 8,622 bibliometric papers harvested from Web of Science, among which 1,786 (20.7%) were Papers with Reported Funding (PRFs). The trend in a number of PRFs funding in the last five years was positive. The most productive countries in PRFs` production were China, the USA and the UK. The same countries were also the most prolific regarding how many times they were mentioned in funding acknowledgments. The number of PRFs published per country was related to OECD reported Gross Domestic Spending on R&D for 2015. There was a significant correlation between number of PRFs per country and the number of all bibliometric papers per country. Far the most prolific funding agency was National Natural Science Foundation of China, followed by the European Commission and the USAs National Science Foundation. The Research trend and direction prediction is the most prolific research theme regarding the percent of PRF and thus most likely to get funded.Cilj istraživanja predstavljenog u ovom radu bio je identificirati obrasce financiranja istraživanja iz područja bibliometrije kao znanosti koja se brzo širi. Analizirane su informacije o financiranju 8.622 bibliometrijskih radova prikupljenih iz Web of Science, od kojih je 1.786 (20,7%) bilo radova s prijavljenim financiranjem (PRF). Trend u broju PRF-ova u posljednjih pet godina bio je pozitivan. Najproduktivnije zemlje u proizvodnji PRF-a bile su Kina, SAD i Velika Britanija. Iste su zemlje bile i najplodnije u pogledu koliko su puta spomenute u priznanjima za financiranje. Broj PRF-ova objavljenih po zemlji povezan je s OECD-ovim izvješćem o bruto domaćoj potrošnji na istraživanje i razvoj za 2015. Postoji značajna korelacija između broja PRF-ova po zemlji i broja svih bibliometrijskih radova po zemlji. Daleko najplodnija agencija za financiranje bila je Nacionalna zaklada za prirodne znanosti u Kini, a slijede je Europska komisija i Nacionalna zaklada za znanost SAD-a. Predviđanje trenda i smjera istraživanja je najplodnija tema istraživanja u odnosu na postotak PRF-a i stoga najvjerojatnije da će se financirati

Software Development with Scrum: A Bibliometric Analysis and Profile

Introduction of the Scrum approach into software engineering has changed the way software is being developed. The Scrum approach emphasizes the active end-user involvement, embracing of change, and /iterative delivery of products. Our study showed that Scrum has different variants or is used in combination with different methods. Some tools not normally used in the conventional software approaches, like gamification, content analysis and grounded theory are also employed. However, Scrum like other software development approach focuses on improvement of software process, software quality, business value, performance, usability and efficiency and at the same time to reduce cost, risk and uncertainty. Contrary to some conventional approaches it also strives to boost soft factors like agility, trust, motivation, responsibility and transparency. The bibliometric synthetic scoping study revealed seven main research themes concerned with the Scrum research

Stability of Ranked Gene Lists in Large Microarray Analysis Studies

This paper presents an empirical study that aims to explain the relationship between the number of samples and stability of different gene selection techniques for microarray datasets. Unlike other similar studies where number of genes in a ranked gene list is variable, this study uses an alternative approach where stability is observed at different number of samples that are used for gene selection. Three different metrics of stability, including a novel metric in bioinformatics, were used to estimate the stability of the ranked gene lists. Results of this study demonstrate that the univariate selection methods produce significantly more stable ranked gene lists than the multivariate selection methods used in this study. More specifically, thousands of samples are needed for these multivariate selection methods to achieve the same level of stability any given univariate selection method can achieve with only hundreds

Noninvasive methods for children\u27s cholesterol level determination

Today, there is a controversy about the role of cholesterol in infants and the measurement and management of blood cholesterol in children. Several scientific evidences are supporting relationship between elevated blood cholesterol in children and high cholesterol in adults and development of adult arteriosclerotic diseases such as cardiovascular and cerebrovascular disease. Therefore controlling the level of blood cholesterol in children is very important for the health of the whole population. Non-invasive methods are much more convenient for the children because of their anxieties about blood examinations. In this paper we will present a new try to find non-invasive methods for determining the level of blood cholesterol in children with the use of intelligent system

Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays

Background Reproducibility of results can have a significant impact on the acceptance of new technologies in gene expression analysis. With the recent introduction of the so-called next-generation sequencing (NGS) technology and established microarrays, one is able to choose between two completely different platforms for gene expression measurements. This study introduces a novel methodology for gene-ranking stability analysis that is applied to the evaluation of gene-ranking reproducibility on NGS and microarray data. Results The same data used in a well-known MicroArray Quality Control (MAQC) study was also used in this study to compare ranked lists of genes from MAQC samples A and B, obtained from Affymetrix HG-U133 Plus 2.0 and Roche 454 Genome Sequencer FLX platforms. An initial evaluation, where the percentage ofoverlapping genes was observed, demonstrates higher reproducibility on microarray data in 10 out of 11 gene-ranking methods. A gene set enrichment analysis shows similar enrichment of top gene sets when NGS is compared with microarrays on a pathway level. Our novel approach demonstrates high accuracy of decision trees when used for knowledge extraction from multiple bootstrapped gene set enrichment analysis runs. A comparison of the two approaches in sample preparation for high-throughput sequencing shows that alternating decision trees represent the optimal knowledge representation method in comparison with classical decision trees. Conclusions Usual reproducibility measurements are mostly based on statistical techniques that offer very limited biological insights into the studied gene expression data sets. This paper introduces the meta-learning-based gene set enrichment analysis that can be used to complement the analysis of gene-ranking stabilityestimation techniques such as percentage of overlapping genes or classic gene set enrichment analysis. It is useful and practical when reproducibility of gene ranking results or different gene selection techniquesis observed. The proposed method reveals very accurate descriptive models that capture the co-enrichment of gene sets which are differently enriched in the compared data sets

Journals Bibliometric Portfolios; Case of Nursing Research

Number of journals is raising exponentially. Consequently authors have a problem which journal to select when publishing their research. Journal portfolios including information like impact factors and productivity trends, state of the art topics, topics evolution and citation patterns might help authors to select the journal where their paper will have optimal chances to be published, read and cited. To build portfolios we used two approaches; namely descriptive bibliometric analysis to extract distribution of types of documents, most prolific authors, institutions, countries, citation histories, etc. and bibliometric mapping to visualize the content Our study showed that journals portfolios can improve evidence based nursing and on the other hand offer health librarians an opportunity to extend their services and help prospective authors to select the optimal journal to publish their research