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Guoqiang Liang, Haiyan Hou, Zhigang Hu, Fu Huang, Yajie Wang and Shanshan Zhang

2011.59 detected by usage count and 2009.07 by times cited. Table 2 Recentness of the research fronts detected by times cited. Clusters No. of references Mean cited year No. of citing articles Recentness Emerging peptide nanomedicine 29 2008 54 2010.44 Pluripotent stem cell 25 2007 56 2008.89 Adipose-derived stem cell 25 2003 83 2010.14 Somatic cell 22 2008 52 2009.33 Mesenchymal stem cell 22 2003 55 2010.07 Induced pluripotent stem cell 22 2008 41 2009

Open access

Chunjuan Luan and Alan L. Porter

maps of science based on the new Web-of-Science categories Scientometrics 94 2 589 593 Leydesdorff, L., & Wagner, C. (2009). Is the United States losing ground in science? A global perspective on the world science system. Scientometrics, 78(1), 23–36. 10.1007/s11192-008-1830-4 Leydesdorff L. Wagner C. 2009 Is the United States losing ground in science? A global perspective on the world science system Scientometrics 78 1 23 36 Lin, C.S.L., & Ho, Y.S. (2015). A bibliometric analysis of publications on pluripotent stem cell research. Cell Journal

Open access

Jane Greenberg

through interest groups within a larger association, several targeted conferences, and focused publications, such as the International Journal of Metadata , Semantics , and Ontologies . Despite strong, historical grounding, metadata research in data science, and the larger digital ecosystem, is restrained by not being considered a true scientific endeavor. More specifically, challenges to metadata research stem, to a large degree, from two intersecting factors: 1) the utilitarian nature of metadata, and 2) historical and traditional perceptions of metadata. 3

Open access

Haiyun Xu, Chao Wang, Kun Dong, Rui Luo, Zenghui Yue and Hongshen Pang

is the fierce competition that stems from extreme homogenization, making it difficult to generate a cluster effect and achieve collaboration effectively ( Huang, 2014 ). Therefore, methods that are solely based on technical similarities are not necessarily effective in identifying IURC partners. The method proposed in this paper is meant to improve the matching process for collaborative partners, and thereby, overcome barriers in the innovation process that prevent collaborations from forming and to encourage innovations to move along the chain. In this study, we

Open access

Jon Garner, Alan L. Porter, Andreas Leidolf and Michelle Baker

Porter, A.L., Schoeneck, D.J., Roessner, D., & Garner, J. (2010). Practical research proposal and publication profiling. Research Evaluation, 19(1), 29–44. 10.3152/095820210X492512 Porter A.L. Schoeneck D.J. Roessner D. Garner J. 2010 Practical research proposal and publication profiling Research Evaluation 19 1 29 44 Porter, A.L., Schoeneck, D.J., Solomon, G., Lakhani, H., & Dietz, J. (2013). Measuring and mapping interdisciplinarity: Research & evaluation on education in science & engineering (“REESE”) and STEM. In American Education Research Association Annual

Open access

Jie Wang, Chengzhi Zhang, Mengying Zhang and Sanhong Deng

results in higher ranking. Table 2 Top 20 Phrases According to High Frequency. Phrase (Frequency) Phrase (Frequency) cell line (37507) reactive oxygen species (5160) gene expression (37001) central nervous system (4418) amino acid (35165) smooth muscle cell (3439) transcription factor (25626) protein protein interaction (3286) cancer cell (25605) single nucleotide polymorphism (2535) stem cell (22567) tumor necrosis factor (2482) growth factor (17531) genome wide association (2386

Open access

Liam Cleere and Lai Ma

first year the OBRSS was implemented, 85% of academic staff updated their profiles as opposed to 75% over the previous three years. Using the publication records in CRIS, we can compare the coverage of research outputs per School and College in Scopus and the OBRSS ranked publication list. Although many international university ranking organisations use either Scopus or Web of Science as a data source to evaluate the research performance of an institution, the data source only works well for STEM (Science, Technology, Engineering & Mathematics) disciplines where

Open access

Xiang Zhou, Pengyi Zhang and Jun Wang

similarities between a search term and each source in the semantic network. Usually the angle (cosine similarity) between two search query vectors is calculated as the index of the similarity between these two search queries. Lucchese et al. (2011) first processed the search log, including the removal of empty log records and stop words, as well as stemming and deleting sessions that last too long or include too many queries, which indicates it is likely produced by machines. Then they calculated the word and semantic similarities between queries using two methods to

Open access

Raf Guns

by hundreds or even thousands of authors – with papers authored by two or three researchers. It seems extremely unlikely that the intensity of close collaboration in the former case is as high as it is in the latter case. Next, we have two hypotheses regarding prediction performance: H2a: The performance of a weighted predictor is better than the performance of its unweighted counterpart. H2b: The performance of a bipartite predictor is better than the performance of both its weighted and unweighted counterpart. Hypothesis H2a stems from the fact that

Open access

Ronald N. Kostoff

-positive autistic sera were also positive for MBP autoantibodies, suggesting a strong association between MMR and Central Nervus System (CNS) autoimmunity in autism. Stemming from this evidence, we suggest that an inappropriate antibody response to MMR, specifically the measles component thereof, might be related to pathogenesis of autism” ( Singh et al., 2002 ). A second study concluded: “The higher the proportion of children receiving recommended vaccinations, the higher was the prevalence of AUT [autism] or SLI [speech language impairment]. A 1% increase in vaccination was