Journal of Shanghai Jiao Tong University (Medical Science) ›› 2024, Vol. 44 ›› Issue (9): 1205-1212.doi: 10.3969/j.issn.1674-8115.2024.09.016
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CHEN Lihong1(
), WANG Yan1, ZHOU Xiangtian1, ZHENG Junke2, YAN Xiaoxiang1()
Received:2024-07-25
Accepted:2024-08-06
Online:2024-09-28
Published:2024-09-28
Contact:
YAN Xiaoxiang
E-mail:chenlihong@shsmu.edu.cn;cardexyanxx@hotmail.com
CLC Number:
CHEN Lihong, WANG Yan, ZHOU Xiangtian, ZHENG Junke, YAN Xiaoxiang. Influencing factors of the approval of the Young Scientists Fund of National Natural Science Foundation of China: a case study of Shanghai Jiao Tong University School of Medicine[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(9): 1205-1212.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2024.09.016
| Variable | Approved group (n=582) | Unapproved group (n=339) | χ2/Z value | P value |
|---|---|---|---|---|
| Gender/n(%) | 2.69 | 0.101 | ||
| Male | 213 (36.60) | 106 (31.27) | ||
| Female | 369 (63.40) | 233 (68.73) | ||
| Age/year | 31.00 (29.00, 33.00) | 32.00 (30.00, 34.00) | 170 944 | 0.000 |
| Educational background/n(%) | 125.09 | 0.000 | ||
| Bachelor | 0 (0) | 4 (1.18) | ||
| Master | 65 (11.17) | 142 (41.89) | ||
| Doctor | 517 (88.83) | 193 (56.93) | ||
| Graduate university/n(%) | 20.50 | 0.000 | ||
| 985 project university | 470 (80.76) | 237 (69.91) | ||
| Non-985 project university | 76 (13.06) | 84 (24.78) | ||
| Overseas university | 36 (6.19) | 18 (5.31) | ||
| Years of graduation/year | 1.00 (0, 3.00) | 2.00 (1.00, 6.00) | 182 530 | 0.000 |
| Postdoctoral experience/n(%) | 178 (30.58) | 50 (14.75) | 28.84 | 0.000 |
| Institution/n(%) | 2.22 | 0.136 | ||
| Affiliated hospital | 534 (91.75) | 320 (94.40) | ||
| College | 48 (8.25) | 19 (5.60) | ||
| Title of a professional post/n(%) | 12.74 | 0.002 | ||
| Junior and below | 381 (65.46) | 183 (53.98) | ||
| Intermediate | 180 (30.93) | 144 (42.48) | ||
| Senior | 21 (3.61) | 12 (3.54) | ||
| Job category/n(%) | 35.13 | 0.000 | ||
| Doctor | 361 (62.03) | 209 (61.65) | ||
| Full-time scientific researcher | 172 (29.55) | 61 (17.99) | ||
| Others | 49 (8.42) | 69 (20.35) | ||
| Number of applications/n(%) | 29.29 | 0.000 | ||
| 1 time | 319 (54.81) | 138 (40.83) | ||
| 2 times | 123 (21.13) | 116 (34.32) | ||
| 3 times | 98 (16.84) | 52 (15.38) | ||
| 4 or more times | 42 (7.22) | 33 (9.73) | ||
| Application department/n(%) | 4.12 | 0.127 | ||
| Department of Health Sciences | 504 (86.60) | 296 (87.32) | ||
| Department of Life Sciences | 44 (7.56) | 16 (4.72) | ||
| Other departments | 34 (5.84) | 27 (7.96) | ||
| Attributes of scientific questions/n(%) | 1.87 | 0.599 | ||
| Exploration and highlight originality | 63 (10.82) | 37 (10.91) | ||
| Cutting-edge area with the development of new methodology | 315 (54.12) | 171 (50.44) | ||
| Demand-driven bottleneck | 174 (29.90) | 116 (34.22) | ||
| Universal orientation and transdisciplinary convergence | 30 (5.15) | 15 (4.42) | ||
| Consistency of the application with the doctoral research/n(%) | 430 (73.88) | 143 (42.18) | 72.75 | 0.000 |
| Consistency between the application and supporting laboratory/n(%) | 521 (89.52) | 244 (71.98) | 42.68 | 0.000 |
| Medical-engineering science cross research/n(%) | 79 (13.57) | 42 (12.39) | 0.21 | 0.646 |
| Having participated in national projects such as the National Natural Science Foundation of China/n(%) | 485 (83.33) | 216 (63.72) | 43.95 | 0.000 |
| Other approved scientific research or talent projects before applying for Young Scientists Fund/n(%) | 289 (49.66) | 136 (40.12) | 6.99 | 0.008 |
| Previous experience in writing National Natural Science Foundation of China/n(%) | 326 (56.01) | 178 (52.51) | 0.65 | 0.421 |
| Sufficient foundation of previous work/n(%) | 551 (94.67) | 204 (60.18) | 168.27 | 0.000 |
| Number of representative papers | 2.00 (1.00, 3.00) | 2.00 (1.00, 3.00) | 142 365 | 0.000 |
| Average impact factor of representative papers | 6.15 (4.28, 9.53) | 3.88 (2.06, 5.90) | 89 105 | 0.000 |
| Highest impact factor of representative papers | 10.20 (6.60, 15.90) | 6.00 (4.00, 10.20) | 108 042 | 0.000 |
| Total self-evaluated score of the application/score | 86.00 (81.00, 90.00) | 75.00 (65.00, 81.00) | 82 262 | 0.000 |
Tab 1 Single factor analysis of the approval of the Young Scientists Fund （n=921）
| Variable | Approved group (n=582) | Unapproved group (n=339) | χ2/Z value | P value |
|---|---|---|---|---|
| Gender/n(%) | 2.69 | 0.101 | ||
| Male | 213 (36.60) | 106 (31.27) | ||
| Female | 369 (63.40) | 233 (68.73) | ||
| Age/year | 31.00 (29.00, 33.00) | 32.00 (30.00, 34.00) | 170 944 | 0.000 |
| Educational background/n(%) | 125.09 | 0.000 | ||
| Bachelor | 0 (0) | 4 (1.18) | ||
| Master | 65 (11.17) | 142 (41.89) | ||
| Doctor | 517 (88.83) | 193 (56.93) | ||
| Graduate university/n(%) | 20.50 | 0.000 | ||
| 985 project university | 470 (80.76) | 237 (69.91) | ||
| Non-985 project university | 76 (13.06) | 84 (24.78) | ||
| Overseas university | 36 (6.19) | 18 (5.31) | ||
| Years of graduation/year | 1.00 (0, 3.00) | 2.00 (1.00, 6.00) | 182 530 | 0.000 |
| Postdoctoral experience/n(%) | 178 (30.58) | 50 (14.75) | 28.84 | 0.000 |
| Institution/n(%) | 2.22 | 0.136 | ||
| Affiliated hospital | 534 (91.75) | 320 (94.40) | ||
| College | 48 (8.25) | 19 (5.60) | ||
| Title of a professional post/n(%) | 12.74 | 0.002 | ||
| Junior and below | 381 (65.46) | 183 (53.98) | ||
| Intermediate | 180 (30.93) | 144 (42.48) | ||
| Senior | 21 (3.61) | 12 (3.54) | ||
| Job category/n(%) | 35.13 | 0.000 | ||
| Doctor | 361 (62.03) | 209 (61.65) | ||
| Full-time scientific researcher | 172 (29.55) | 61 (17.99) | ||
| Others | 49 (8.42) | 69 (20.35) | ||
| Number of applications/n(%) | 29.29 | 0.000 | ||
| 1 time | 319 (54.81) | 138 (40.83) | ||
| 2 times | 123 (21.13) | 116 (34.32) | ||
| 3 times | 98 (16.84) | 52 (15.38) | ||
| 4 or more times | 42 (7.22) | 33 (9.73) | ||
| Application department/n(%) | 4.12 | 0.127 | ||
| Department of Health Sciences | 504 (86.60) | 296 (87.32) | ||
| Department of Life Sciences | 44 (7.56) | 16 (4.72) | ||
| Other departments | 34 (5.84) | 27 (7.96) | ||
| Attributes of scientific questions/n(%) | 1.87 | 0.599 | ||
| Exploration and highlight originality | 63 (10.82) | 37 (10.91) | ||
| Cutting-edge area with the development of new methodology | 315 (54.12) | 171 (50.44) | ||
| Demand-driven bottleneck | 174 (29.90) | 116 (34.22) | ||
| Universal orientation and transdisciplinary convergence | 30 (5.15) | 15 (4.42) | ||
| Consistency of the application with the doctoral research/n(%) | 430 (73.88) | 143 (42.18) | 72.75 | 0.000 |
| Consistency between the application and supporting laboratory/n(%) | 521 (89.52) | 244 (71.98) | 42.68 | 0.000 |
| Medical-engineering science cross research/n(%) | 79 (13.57) | 42 (12.39) | 0.21 | 0.646 |
| Having participated in national projects such as the National Natural Science Foundation of China/n(%) | 485 (83.33) | 216 (63.72) | 43.95 | 0.000 |
| Other approved scientific research or talent projects before applying for Young Scientists Fund/n(%) | 289 (49.66) | 136 (40.12) | 6.99 | 0.008 |
| Previous experience in writing National Natural Science Foundation of China/n(%) | 326 (56.01) | 178 (52.51) | 0.65 | 0.421 |
| Sufficient foundation of previous work/n(%) | 551 (94.67) | 204 (60.18) | 168.27 | 0.000 |
| Number of representative papers | 2.00 (1.00, 3.00) | 2.00 (1.00, 3.00) | 142 365 | 0.000 |
| Average impact factor of representative papers | 6.15 (4.28, 9.53) | 3.88 (2.06, 5.90) | 89 105 | 0.000 |
| Highest impact factor of representative papers | 10.20 (6.60, 15.90) | 6.00 (4.00, 10.20) | 108 042 | 0.000 |
| Total self-evaluated score of the application/score | 86.00 (81.00, 90.00) | 75.00 (65.00, 81.00) | 82 262 | 0.000 |
Fig 1 Qualitative and quantitative change of the representative papers by approved Young Scientists Fund
| Variable | Assignment of value |
|---|---|
| Educational background | Bachelor=1, master=2, doctor=3 |
| Graduate university | 985 project university=1, non-985 project university=2, overseas university=3 |
| Postdoctoral experience | Yes=1, No=0 |
| Title of a professional post | Junior and below=1, intermediate=2, senior=3 |
| Job category | Doctor=1, full-time scientific researcher=2, others=3 |
| Number of applications | 1 time=1, 2 times=2, 3 times=3, 4 or more times=4 |
| Consistency of the application with the doctoral research | Yes=1, no=0 |
| Consistency between the application and supporting laboratory | Yes=1, no=0 |
| Medical-engineering science cross research | Yes=1, no=0 |
| Having participated in national projects such as the National Natural Science Foundation of China | Yes=1, no=0 |
| Other approved scientific research or talent projects before applying for Young Scientists Fund | Yes=1, no=0 |
| Sufficient foundation of previous work | Yes=1, no=0 |
Tab 2 Categorical variable assignment for Logistic regression model
| Variable | Assignment of value |
|---|---|
| Educational background | Bachelor=1, master=2, doctor=3 |
| Graduate university | 985 project university=1, non-985 project university=2, overseas university=3 |
| Postdoctoral experience | Yes=1, No=0 |
| Title of a professional post | Junior and below=1, intermediate=2, senior=3 |
| Job category | Doctor=1, full-time scientific researcher=2, others=3 |
| Number of applications | 1 time=1, 2 times=2, 3 times=3, 4 or more times=4 |
| Consistency of the application with the doctoral research | Yes=1, no=0 |
| Consistency between the application and supporting laboratory | Yes=1, no=0 |
| Medical-engineering science cross research | Yes=1, no=0 |
| Having participated in national projects such as the National Natural Science Foundation of China | Yes=1, no=0 |
| Other approved scientific research or talent projects before applying for Young Scientists Fund | Yes=1, no=0 |
| Sufficient foundation of previous work | Yes=1, no=0 |
| Variable | Total number of surveyed applicants (n=921) | Doctor (n=570) | Full-time scientific researcher (n=233) | |||||
|---|---|---|---|---|---|---|---|---|
| OR (95%CI) | P value | OR (95%CI) | P value | OR (95%CI) | P value | |||
| Educational background | 1.86 (1.14‒3.04) | 0.014 | ||||||
Graduate university (985 project university vs non-985 project university) | 2.45 (1.47‒4.08) | 0.021 | ||||||
| Years of graduation | 0.89 (0.81‒0.97) | 0.008 | ||||||
| Having participated in national projects such as the National Natural Science Foundation of China | 2.03 (1.11‒3.71) | 0.022 | ||||||
| Sufficient foundation of previous work | 4.22 (2.44‒7.29) | 0.000 | 5.28 (2.56‒10.87) | 0.000 | 3.28 (1.05‒10.22) | 0.041 | ||
| Average impact factor of representative papers | 1.10 (1.04‒1.17) | 0.002 | 1.20 (1.10‒1.31) | 0.000 | 1.04 (1.00‒1.08) | 0.037 | ||
| Total self-evaluated score of the application | 1.06 (1.04‒1.08) | 0.000 | 1.06 (1.03‒1.08) | 0.000 | 1.09 (1.04‒1.14) | 0.000 | ||
Tab 3 Multivariate Logistic regression analysis of the approved Young Scientists Fund
| Variable | Total number of surveyed applicants (n=921) | Doctor (n=570) | Full-time scientific researcher (n=233) | |||||
|---|---|---|---|---|---|---|---|---|
| OR (95%CI) | P value | OR (95%CI) | P value | OR (95%CI) | P value | |||
| Educational background | 1.86 (1.14‒3.04) | 0.014 | ||||||
Graduate university (985 project university vs non-985 project university) | 2.45 (1.47‒4.08) | 0.021 | ||||||
| Years of graduation | 0.89 (0.81‒0.97) | 0.008 | ||||||
| Having participated in national projects such as the National Natural Science Foundation of China | 2.03 (1.11‒3.71) | 0.022 | ||||||
| Sufficient foundation of previous work | 4.22 (2.44‒7.29) | 0.000 | 5.28 (2.56‒10.87) | 0.000 | 3.28 (1.05‒10.22) | 0.041 | ||
| Average impact factor of representative papers | 1.10 (1.04‒1.17) | 0.002 | 1.20 (1.10‒1.31) | 0.000 | 1.04 (1.00‒1.08) | 0.037 | ||
| Total self-evaluated score of the application | 1.06 (1.04‒1.08) | 0.000 | 1.06 (1.03‒1.08) | 0.000 | 1.09 (1.04‒1.14) | 0.000 | ||
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