a b s t r a c tEvaluating the quality of academic journals is becoming increasing important within the context of research performance evaluation. Traditionally, journals have been ranked by peer review lists such as that of the Association of Business Schools (UK) or though their journal impact factor (JIF). However, several new indicators have been developed, such as the h-index, SJR, SNIP and the Eigenfactor which take into account different factors and therefore have their own particular biases. In this paper we evaluate these metrics both theoretically and also through an empirical study of a large set of business and management journals. We show that even though the indicators appear highly correlated in fact they lead to large differences in journal rankings. We contextualise our results in terms of the UK's large scale research assessment exercise (the RAE/REF) and particularly the ABS journal ranking list. We conclude that no one indicator is superior but that the h-index (which includes the productivity of a journal) and SNIP (which aims to normalise for field effects) may be the most effective at the moment.

A critical review of complementary and alternative medicine (CAM) use among people with arthritis was conducted focusing upon prevalence and profile of CAM users as well as their motivation, decision-making, perceived benefits and communication with healthcare providers. A comprehensive search of peer-reviewed literature published from 2008 to 2015 was undertaken via CINAHL, Medline and AMED databases. The initial search identified 4331 articles, of which 49 articles met selection criteria. The review shows a high prevalence of CAM use (often multiple types and concurrent to conventional medical care) among those with arthritis which is not restricted to any particular geographic or social-economic status. A large proportion of arthritis sufferers using CAM consider these medicines to be somewhat or very effective but almost half do not inform their healthcare provider about their CAM use. It is suggested that rheumatologists and others providing health care for patients with arthritis should be cognizant of the high prevalence of CAM use and the challenges associated with possible concurrent use of CAM and conventional medicine among their patients.

The constitution of traditional Chinese medicine was established in 1970s by Chinese scholars, in which the constitutions of Chinese people were classified into nine types for study. The phlegm-dampness constitution is one of the nine constitutions and is the most common type in constitution study. Genomics studies found four upregulated genes: COPS8, GNPDA1, CD52 and ARPC3; and six downregulated genes: GSPT2, CACNB2, FLJ20584, UXS1, IL21R and TNPO in the phlegm-dampness constitution. Gene functional analyses on genes affecting the differences between the phlegm-dampness constitution and the balanced constitution indicated that people with phlegm-dampness constitution were susceptible to hyperlipemia and diabetes. Results of epidemiological surveys also revealed that people with phlegm-dampness constitution have a much higher risk of obesity, metabolic syndrome, hypertension and diabetes than people with a balanced constitution. Therefore, differentiation of phlegm-dampness constitution could be performed in the normal population with the Constitution of Chinese Medicine Scale to estimate the risks of those diseases for prediction. For people with phlegm-dampness constitution, Chinese medicine could be used to reduce risk of related diseases. Constitution-based strategies in disease prevention and treatment are consistent with the current proposed 4P medical mode (personalized, predictive, preventive and participatory). With the rising burden of global disease and increasing medical expenditure, the objectives of medicine are transforming from treatment to prevention. Thus, studies on the phlegm-dampness constitution of traditional Chinese medicine are significantly important for the prediction and prevention of related diseases and maintenance of human health.

Building on the ideas of Stirling (J R Soc Interface, 4(15), [707][708][709][710][711][712][713][714][715][716][717][718][719] 2007) and Rafols and Meyer (Scientometrics, 82(2), 263-287, 2010), we borrow models of genetic distance based on gene diversity and propose a general conceptual framework to investigate the diversity within and among systems and the similarity between systems. This framework can be used to reveal the relationship of systems weighted by the similarity of the corresponding categories. Application of the framework to scientometrics is explored to evaluate the balance of national disciplinary structures, and the homogeneity of disciplinary structures between countries.

Selenium (Se) influences the metabolism of thyroid hormones in mammals. However, the role of Se deficiency in the regulation of thyroid hormones in chickens is not well known. In the present study, we examined the levels of thyroidal triiodothyronine (T3), thyroidal thyroxine (T4), free triiodothyronine, free thyroxine (FT4), and thyroid-stimulating hormone in the serum and the mRNA expression levels of 25 selenoproteins in chicken thyroids. Then, principal component analysis (PCA) was performed to analyze the relationships between the selenoproteins. The results indicated that Se deficiency influenced the conversion of T4 to T3 and induced the accumulation of T4 and FT4. In addition, the mRNA expression levels of the selenoproteins were generally decreased by Se deficiency. The PCA showed that eight selenoproteins (deiodinase 1 (Dio1), Dio2, Dio3, thioredoxin reductase 2 (Txnrd2), selenoprotein i (Seli), selenoprotein u (Selu), glutathione peroxidase 1 (Gpx1), and Gpx2) have similar trends, which indicated that they may play similar roles in the metabolism of thyroid hormones. The results showed that Se deficiency inhibited the conversion of T4 to T3 and decreased the levels of the crucial metabolic enzymes of the thyroid hormones, Dio1, Dio2, and Dio3, in chickens. In addition, the decreased selenoproteins (Dio1, Dio2, Dio3, Txnrd2, Seli, Selu, Gpx1, and Gpx2) induced by Se deficiency may indirectly limit the conversion of T4 to T3 in chicken thyroids. The information presented in this study is helpful to understand the role of Se in the thyroid function of chickens.