Joint*venture* OR partner* OR co*operation*) Manually clean Rule: university

Source SPSS twostep cluster analysis determined by net mining analysis of 65 graphene tiny and medium-sized enterprises (SMEs) title= journal.pone.0081378 in study data setJ Nanopart Res (2016) 18:Page 23 of Popul Environ (2014) 36:111?35 DOI ten.1007/s11111-014-0210-7 PERSPECTIVESEmpirical analysis on international environmental migration: a systematic reviewReiko Obokata ?Luisa Veronis ?Robert McLemanPublished on the internet: 22 February 2014 ?The Author(s) 2014.Joint*venture* OR partner* OR co*operation*) Manually clean Rule: university* Manually clean Capital* Equity* Funding* Venture*capital* Manually cleanUniversity linkages FinanceNobelDo they mention the Nobel Prize (associated with graphene)? What social media solutions are applied? Twitter; Facebook; Linked-in; Other (Google Plus, YouTube, Vimeo, Flickr)Rule: (geim* OR novoselov* OR nobel prize*) Manually clean Rule: (blog* OR *facebook* OR linked*in* OR twitter* OR youtube*) Manually cleanSocial mediaTable five Detailed benefits from the regression evaluation. Supply Web mining evaluation of 65 graphene compact and medium-sized enterprises (SMEs) in study information set. Outcomes of a binary logistics regression exactly where columns are dependent variables and rows are Stic shared by 61 of this cohort which for some was an Aspects Active (in any value chain position) Coefficient Graphene publications Graphene patents Age Finance Business hyperlinks Government links University links Total mention of graphene properties Total mention of graphene production solutions -0.11635 0.013479 -0.03469 1.81117* -1.37018 0.300406 -1.67677 -1.01875 Significance title= 0008-5472.CAN-14-2233 0.287366 0.798586 0.347588 0.043849 0.227652 0.734458 0.241207 0.458156 Active in material production Coefficient 0.054547 0.024677 -0.04678 -0.28894 -0.05308 0.940486 -1.17146 0.independent variables (predictors). Significance levels of 90 or over are denoted with a star (*). ``-2 Log likelihood, ``Cox Snell R Square, and ``Nagelkerke R Square are model level statistics made use of to examine unique models Active in gear manufacturing Coefficient -4.35172 0.022442 -0.01319 3.984863* -1.75812 -1.34136 -2.55621 -3.90754 Significance 0.998379 0.864103 0.795339 0.038744 0.222243 0.197128 0.131521 0.344891 Active in intermediate or final items Coefficient 0.057108 -0.05012 0.0941* 1.231949 -1.14297 -0.04797 17.75487 0.013377 Significance 0.566747 0.679687 0.064259 0.413448 0.537043 0.967054 0.998479 0.Significance 0.639095 0.627027 0.196897 0.697025 0.953101 0.184387 0.246573 0.two.0.1.0.-0.0.-0.0.269 Page 22 of 24 Table five continued Elements Active (in any worth chain position) Coefficient Described any other 2D material Location: North America Place: UK Place: Western Europe Place: East Asia and emerging Number of observations -2 Log likelihood Cox title= journal.pone.0123503 Snell R2 Nagelkerke R2 -1.88155* Significance 0.099055 Active in material production Coefficient -0.18174 Significance 0.842117 Active in equipment manufacturing Coefficient -2.95464*J Nanopart Res (2016) 18:Active in intermediate or final items Coefficient -23.4164 Significance 0.Significance 0.0.0.0.0.-0.0.-6.0.2.044407* 0.0.091096 0.0.623899 -0.0.46505 0.1.438128 0.0.267727 0.-6.42595 -6.0.998348 0.1.0.1.813318*0.-0.0.-7.0.65 52.03 0.44336 0.65 72.58 0.236372 0.65 37.696 0.553521 0.65 39.628 0.540048 0.Fig.