Based on the records in Clarivate Analytics's Web of Science database, this paper uses bibliometric method to assess the development trends of physics in China and the world during 2006 to 2015. The paper analyzes the aspects of the research production, academic impact, output from high impact journals, important output, international collaboration and disciplinary layout. The paper aims to compare the strength of China with the developed countries, to reveal the development trend of China's physics and its international competitiveness, and to provide references to physics policy formulation for Chinese government.

Varied evaluation methods of scientific research impact are needed for the continuously changing of the knowledge carrier and communication platforms. Altmetrics provides a new perspective for measuring the influence of academic research, and expands the breadth and depth of people's knowledge of academic influence. It is the deep development of traditional bibliometrics. This paper analyzed the development trends, research contents and innovative application of Altmetrics by means of literature survey and content analysis. Altmetrics provides a new method, index and tool set for the evaluation of scientific research impact, and the application of Altmetrics is more and more extensive which has aroused great concern of the academia. The library, as an important part of scientific communication, is bound to be involved in the wave of innovation.

Through the tracking and analysis of the Twitter and Mendeley data of the research article, this paper probes into the characteristics and laws of network dissemination of research article. The Twitter and Mendeley data of 136 research articles published in November 2016 issue on five different types of journals was tracked and recorded. The cumulative trends and distribution of the two indicators were explored; The correlation between two indicators data recorded at different stages and between two indicators data and citation data counted by Scopus were calculated. Twitter and Mendeley cumulative value of research article shows independence to a certain degree. This means that the articles, whether in form of open access and published by different publishers, can be compared by the two indicators. In addition.the distribution characteristics of the two indicators of different stages are consistent, which means that the two indicators have early prediction function that can used to identify high-impact research articles earlier.