Introduction: In emerging figures, scholars are unifying social media tools like blogs, Twitter, and Mendeley into their professional communications. The online, open nature of these tools reveals the scholarly action to be clear and unambiguous. Metrics which is set on these activities could enlighten broader, faster measures of impact, supplementing traditional citation metrics. Aim:The present review aims to analyse the correlation of altmetrics with the traditional citations in medical research. Materials and Methods:The search strategy used a combination of controlled vocabulary and free text terms. The main database searched were PubMed, PubMed Central, Cochrane Review, Embase and Google Scholar from 2010 to 2016. Out of the total 78 titles appeared seven articles fulfilled the criteria and were selected for the review. Results:The positive correlation between altmetrics and traditional citations indicates that the two are not entirely different from each other and are familiar with each other. Altmetrics are usually accessible earlier and enable us to evaluate the social impact of scholarly research, almost at the actual time. Conclusion:Much work is needed to develop this research which will focus on the clarity of the impact signal. Thus newer dimensions, such as altmetrics and article-level metrics are an effort to explore the influence of research across the worldwide population.

| Identification of animal species of origin in meat and meat products is a matter of great concerns such as religious, economical, legal as well as medical aspects. Thus, several analytical techniques have been suggested for the identification of meat species either in individual or in mixed samples to protect consumers from the fraudulent and bad habits of marketing. DNA-based techniques especially the techniques based on polymerase chain reaction (PCR) are recognized as the most appropriate methods employed for species identification in raw and processed meat. PCR techniques including randomly amplified polymorphic DNA (PCR-RAPD), restriction fragment length polymorphism (PCR-RFLP), PCR with species-specific primers, real-time PCR and PCR-nucleotide sequencing allow identification of meat species under different processing conditions. But the variability of DNA content on the level of species as well as target tissue make the DNA-based methods somewhat unsuitable for the quantification of exact percentages of different species in meat and meat products. For these reasons the proteomic approaches depending on identification of different peptide biomarkers has been developed and employed to give information on the different composition of food. To broad the knowledge about these technologies, this review is compiled in an attempt to provide an overview of the possible PCR-based analytical techniques that could help in identifying the meat species of origin in meat and meat products and threw the light on the identification of species specific peptide biomarkers by proteomic technologies as a new and attractive alternative that could overcome some of the limitations that faced DNAbased methods especially when used for meat exposed to intensive heating of processing as well as for meat mixtures.

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The results from the present study offers an insight into a competent tool that can analyse and compare oral diseases over time. The trend research platform can be used on emerging diseases and their drift in geographic population with great acumen. This tool can be utilized in forecasting, modulating marketing strategies and planning disability limitation techniques.