Table 6. Regression output with funding diversity as key independent variables.
| Model | IMPACT_FACTOR | CITATION | ||||
|---|---|---|---|---|---|---|
| (linear regression) | (negative binomial regression) | |||||
| (3) | (4) | (5) | (6) | (7) | (8) | |
| IMPACT_FACTOR | 0.167*** | 0.168*** | 0.168*** | |||
| (0.002) | (0.002) | (0.002) | ||||
| ARTICLE_AGE | 0.060*** | 0.060*** | 0.060*** | |||
| (0.001) | (0.001) | (0.001) | ||||
| FUNDERS | 0.259*** | 0.054*** | ||||
| (0.018) | (0.005) | |||||
| FUNDERS2 | -0.002 | -0.002*** | ||||
| (0.002) | (0.000) | |||||
| FUND_COUNTRIES | 0.328*** | 0.114*** | ||||
| (0.102) | (0.036) | |||||
| FUND_COUNTRIES2 | 0.070*** | -0.007 | ||||
| (0.026) | (0.009) | |||||
| EU_FUND | 0.700*** | 0.126*** | ||||
| (0.052) | (0.019) | |||||
| US_FUND | 0.983*** | 0.155*** | ||||
| (0.050) | (0.018) | |||||
| CHINA_FUND | -0.281*** | -0.008 | ||||
| (0.068) | (0.026) | |||||
| GERMANY_FUND | 0.865*** | 0.087*** | ||||
| (0.074) | (0.027) | |||||
| JAPAN_FUND | 0.336*** | 0.033 | ||||
| (0.095) | (0.035) | |||||
| AUTHORS | 0.175*** | 0.189*** | 0.190*** | 0.037*** | 0.039*** | 0.039*** |
| (0.006) | (0.006) | (0.006) | (0.002) | (0.002) | (0.002) | |
| AUTHORS2 | 0.000 | 0.000 | 0.000 | 0.000*** | 0.000*** | 0.000*** |
| (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | (0.000) | |
| STAR_SCIENTIST | 1.096*** | 1.091*** | 1.053*** | 0.193*** | 0.194*** | 0.188*** |
| (0.085) | (0.085) | (0.085) | (0.031) | (0.031) | (0.031) | |
| ACADEMIC | -0.023 | 0.003 | -0.009 | 0.001 | 0.005 | 0.004 |
| (0.044) | (0.044) | (0.044) | (0.016) | (0.016) | (0.016) | |
| CORPORATE | -0.219*** | -0.226*** | -0.234*** | -0.012 | -0.011 | -0.014 |
| (0.048) | (0.048) | (0.048) | (0.018) | (0.018) | (0.018) | |
| GOVLAB | -0.031 | -0.028 | -0.034 | -0.010 | -0.009 | -0.010 |
| (0.030) | (0.030) | (0.030) | (0.011) | (0.011) | (0.011) | |
| HOSPITAL | 0.444*** | 0.508*** | 0.542*** | 0.068* | 0.073** | 0.080** |
| (0.105) | (0.105) | (0.105) | (0.037) | (0.037) | (0.037) | |
| AFFILIATIONS | -0.164*** | -0.148*** | -0.146*** | -0.041*** | -0.034*** | -0.034*** |
| (0.022) | (0.022) | (0.022) | (0.008) | (0.008) | (0.008) | |
| AFFILIATIONS2 | 0.020*** | 0.021*** | 0.021*** | 0.000 | 0.000 | 0.000 |
| (0.002) | (0.002) | (0.002) | (0.001) | (0.001) | (0.001) | |
| US_AUTH | 1.227*** | 1.320*** | 0.560*** | 0.175*** | 0.190*** | 0.072*** |
| (0.029) | (0.029) | (0.050) | (0.011) | (0.011) | (0.018) | |
| CHINA_AUTH | -0.708*** | -0.575*** | -0.254*** | -0.033*** | -0.009 | 0.010 |
| (0.029) | (0.029) | (0.067) | (0.011) | (0.011) | (0.025) | |
| GERMANY_AUTH | 0.740*** | 0.692*** | 0.098 | 0.121*** | 0.114*** | 0.053** |
| (0.044) | (0.044) | (0.067) | (0.016) | (0.016) | (0.025) | |
| JAPAN_AUTH | 0.159*** | 0.154*** | -0.063 | -0.035** | -0.035** | -0.051 |
| (0.045) | (0.045) | (0.087) | (0.017) | (0.017) | (0.032) | |
| AUTH_COUNTRIES | 0.161*** | 0.049 | 0.314*** | 0.029* | 0.006 | 0.045*** |
| (0.045) | (0.046) | (0.046) | (0.017) | (0.017) | (0.017) | |
| AUTH_COUNTRIES2 | -0.066*** | -0.065*** | -0.078*** | -0.001 | 0.001 | -0.001 |
| (0.009) | (0.009) | (0.009) | (0.003) | (0.003) | (0.003) | |
| Field dummies | yes | yes | yes | yes | yes | yes |
| Constant | 1.788*** | 1.811*** | 1.900*** | -0.812*** | -0.844*** | -0.784*** |
| (0.059) | (0.093) | (0.056) | (0.037) | (0.045) | (0.037) | |
| Number of obs. | 60,202 | 60,202 | 60,202 | 52,407 | 52,407 | 52,407 |
| (Adj/Pseudo) R-squared | 0.206 | 0.202 | 0.205 | 0.069 | 0.069 | 0.069 |
Source: Analysis of nanotechnology papers, published worldwide August 2008-July 2009, and indexed in the Web of Science (see text for added details). Citations as of December 2010.
Standard errors in parentheses
*** p<0.01,
** p<0.05,
* p<0.1