Author Details
| Author ID |
Full Name |
Total Papers |
First Year |
Gender |
Ethnicity |
Independence Age (Max) |
Independence Age (Significant) |
| 207390_1 |
Neil Smalheiser |
77 |
1978 |
M |
ENGLISH |
8 |
11 |
OTHER TEMPORAL PROFILES
Grant Details
| NIH GRANT ID |
Fiscal Year |
PI position |
Author Age (years) |
| 1F32EY005729-01 |
1983 |
1 |
5 |
| 5F32EY005729-02 |
1985 |
1 |
7 |
| 5P30HD004583-17 |
1985 |
1 |
7 |
| 5P30HD004583-18 |
1986 |
1 |
8 |
| 3P30HD004583-18S1 |
1987 |
1 |
9 |
| 3P30HD004583-18S2 |
1988 |
1 |
10 |
| 1R29NS026055-01A1 |
1989 |
1 |
11 |
| 2P01HD009402-14A1 |
1989 |
1 |
11 |
| 3P30HD004583-18S3 |
1989 |
1 |
11 |
| 5P01HD009402-15 |
1990 |
1 |
12 |
| 5R29NS026055-02 |
1990 |
1 |
12 |
| 3P30HD004583-18S4 |
1990 |
1 |
12 |
| 5P01HD009402-16 |
1991 |
1 |
13 |
| 5R29NS026055-03 |
1991 |
1 |
13 |
| 2P01HD009402-17 |
1992 |
1 |
14 |
| 5R29NS026055-04 |
1992 |
1 |
14 |
| 5P01HD009402-18 |
1993 |
1 |
15 |
| 5R29NS026055-05 |
1993 |
1 |
15 |
| 5P01HD009402-19 |
1994 |
1 |
16 |
| 5P01HD009402-20 |
1995 |
1 |
17 |
| 5P01HD009402-21 |
1996 |
1 |
18 |
| 1R03MH060778-01A1 |
2000 |
1 |
22 |
| 1R01LM007292-01 |
2001 |
1 |
23 |
| 5R03MH060778-02 |
2001 |
1 |
23 |
| 1R21DA015450-01 |
2002 |
1 |
24 |
| 5R01LM007292-02 |
2002 |
1 |
24 |
| 5R21DA015450-02 |
2003 |
1 |
25 |
| 5R01LM007292-03 |
2003 |
1 |
25 |
| 2P41RR004050-16 |
2004 |
1 |
26 |
| 5R01LM007292-04 |
2004 |
1 |
26 |
| 5R01LM007292-05 |
2005 |
1 |
27 |
| 5P41RR004050-17 |
2005 |
1 |
27 |
| 1R21LM008364-01 |
2005 |
1 |
27 |
| 5R21LM008364-02 |
2006 |
1 |
28 |
| 5P41RR004050-18 |
2006 |
1 |
28 |
| 5P41RR004050-19 |
2007 |
1 |
29 |
| 1R01LM010817-01 |
2010 |
2 |
32 |
| 5R01LM010817-02 |
2011 |
2 |
33 |
| 5R01LM010817-03 |
2012 |
2 |
34 |
Grant Ages
| AUTHOR AGE |
GRANT PREFIX |
| 23 |
1R01LM |
| 32 |
1R01LM |
Some Model
| Model: |
Logit |
Pseudo R-squared: |
0.577 |
| Dependent Variable: |
max_cum_rank |
AIC: |
28.9232 |
| Date: |
2024-12-03 12:07 |
BIC: |
35.7532 |
| No. Observations: |
72 |
Log-Likelihood: |
-11.462 |
| Df Model: |
2 |
LL-Null: |
-27.127 |
| Df Residuals: |
69 |
LLR p-value: |
1.5718e-07 |
| Converged: |
1.0000 |
Scale: |
1.0000 |
| No. Iterations: |
8.0000 |
|
|
|
Coef. |
Std.Err. |
z |
P>|z| |
[0.025 |
0.975] |
| const |
-5.114 |
2.056 |
-2.488 |
0.013 |
-9.143 |
-1.085 |
| x |
0.919 |
0.325 |
2.832 |
0.005 |
0.283 |
1.555 |
| x^2 |
-0.021 |
0.009 |
-2.262 |
0.024 |
-0.040 |
-0.003 |
Top Model
| Model: |
Logit |
Pseudo R-squared: |
0.146 |
| Dependent Variable: |
max_cum_rank |
AIC: |
90.8792 |
| Date: |
2024-12-03 12:07 |
BIC: |
99.9859 |
| No. Observations: |
72 |
Log-Likelihood: |
-41.440 |
| Df Model: |
3 |
LL-Null: |
-48.537 |
| Df Residuals: |
68 |
LLR p-value: |
0.0026522 |
| Converged: |
1.0000 |
Scale: |
1.0000 |
| No. Iterations: |
7.0000 |
|
|
|
Coef. |
Std.Err. |
z |
P>|z| |
[0.025 |
0.975] |
| const |
-6.423 |
2.938 |
-2.186 |
0.029 |
-12.182 |
-0.665 |
| x |
1.435 |
0.611 |
2.348 |
0.019 |
0.237 |
2.633 |
| x^2 |
-0.090 |
0.039 |
-2.336 |
0.019 |
-0.166 |
-0.015 |
| x^3 |
0.002 |
0.001 |
2.330 |
0.020 |
0.000 |
0.003 |