| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
1.009 | -0.062 |
|
Retracted Output
|
-0.306 | -0.050 |
|
Institutional Self-Citation
|
0.091 | 0.045 |
|
Discontinued Journals Output
|
-0.448 | -0.024 |
|
Hyperauthored Output
|
-0.885 | -0.721 |
|
Leadership Impact Gap
|
-1.048 | -0.809 |
|
Hyperprolific Authors
|
1.420 | 0.425 |
|
Institutional Journal Output
|
-0.268 | -0.010 |
|
Redundant Output
|
-0.826 | -0.515 |
Nanjing Tech University demonstrates a robust and well-balanced integrity profile, marked by a commendable overall score of -0.099. The institution exhibits significant strengths in maintaining very low-risk levels for practices such as publishing in discontinued journals, redundant output (salami slicing), and output in its own journals, indicating strong governance and quality control in its publication channels. Furthermore, the university effectively manages its dependency on external collaborations for impact, showcasing growing internal scientific leadership. Areas requiring strategic attention include the Rate of Hyperprolific Authors and the Rate of Multiple Affiliations, which present a moderate risk and deviate from the national average, suggesting a potential overemphasis on quantitative metrics. According to SCImago Institutions Rankings data, the university's scientific excellence is particularly pronounced in Environmental Science, Energy, and Chemistry, where it holds top-tier global and national positions. Although the institution's specific mission was not available for this analysis, these findings highlight a potential tension: the identified risks, if left unaddressed, could challenge the universal academic mission of fostering genuine excellence and social responsibility. To fully align its outstanding scientific performance with an unimpeachable culture of integrity, it is recommended that the university reviews its authorship and affiliation policies to ensure they incentivize quality and substantive collaboration over sheer volume.
Nanjing Tech University presents a Z-score of 1.009, while the national average for China is -0.062. This indicates a moderate deviation from the national norm, suggesting the institution shows a greater sensitivity to risk factors in this area than its peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, the university's higher rate could signal strategic attempts to inflate institutional credit or "affiliation shopping." This divergence from the national standard warrants a closer examination of its collaboration and affiliation policies to ensure they reflect substantive scientific engagement rather than a focus on metric optimization.
The institution's Z-score for retracted output is -0.306, a figure that compares favorably to the national average of -0.050. This demonstrates a prudent and rigorous approach to quality control, suggesting that the university's internal review mechanisms are more robust than the national standard. Retractions can be complex, sometimes resulting from the honest correction of errors. In this context, the low score indicates that the institution's pre-publication checks are likely effective at minimizing systemic failures, and any retractions are more likely to be signs of responsible supervision than recurring malpractice.
With a Z-score of 0.091, the university's rate of institutional self-citation is closely aligned with the national average of 0.045. This reflects a systemic pattern, where the institution's behavior mirrors shared practices or evaluation frameworks at a national level. While a certain degree of self-citation is natural for established research lines, this moderate level serves as a reminder of the potential risk of creating scientific "echo chambers." The alignment with the national trend suggests this is a shared characteristic of the academic environment rather than an isolated institutional anomaly, but it still warrants monitoring to ensure that the institution's work receives sufficient external scrutiny and avoids endogamous impact inflation.
Nanjing Tech University exhibits an exceptionally low Z-score of -0.448 in this indicator, significantly better than the already low-risk national average of -0.024. This demonstrates a clear and consistent commitment to quality, as the absence of risk signals aligns with and surpasses the national standard. This performance indicates that the institution exercises strong due diligence in selecting dissemination channels for its research. By effectively avoiding journals that fail to meet international ethical or quality standards, the university protects itself from severe reputational risks and ensures its scientific resources are not wasted on predatory or low-integrity practices.
The university's Z-score for hyper-authored output is -0.885, which is lower than the national average of -0.721. This prudent profile suggests that the institution manages its authorship practices with more rigor than the national standard. While extensive author lists are legitimate in "Big Science" disciplines, a well-managed, low score outside these contexts indicates a healthy approach to authorship. It suggests the university effectively distinguishes between necessary massive collaboration and practices like "honorary" authorship, thereby promoting individual accountability and transparency in its research contributions.
With a Z-score of -1.048, the institution shows a total operational silence regarding this risk, performing even better than the national average of -0.809. This exceptionally low score indicates a very small gap between the impact of its overall output and the output where it holds a leadership role. This is a strong sign of sustainable, endogenous scientific capacity. It suggests that the university's prestige is not dependent on external partners but is built upon its own structural and intellectual leadership, reflecting a mature and self-sufficient research ecosystem.
The university's Z-score of 1.420 for hyperprolific authors is notably higher than the national average of 0.425, indicating a high exposure to this risk. This suggests the institution is more prone than its peers to hosting authors with extreme publication volumes, a practice that challenges the limits of meaningful intellectual contribution. This elevated signal serves as an alert to potential imbalances between quantity and quality, pointing to risks such as coercive authorship or the assignment of authorship without real participation. It highlights a need to review internal incentive structures to ensure they prioritize the integrity of the scientific record over raw productivity metrics.
The institution demonstrates a very low-risk profile with a Z-score of -0.268, which is significantly below the national average of -0.010. This low-profile consistency, where the absence of risk signals surpasses the national standard, is a positive indicator of the university's publication strategy. It shows that the institution does not rely excessively on its in-house journals, which can carry conflicts of interest. By favoring external, independent peer review, the university avoids academic endogamy, enhances the global visibility of its research, and ensures its scientific production is validated through standard competitive channels.
Nanjing Tech University shows a total operational silence in this area, with a Z-score of -0.826 that is considerably lower than the national average of -0.515. This indicates an absence of risk signals related to "salami slicing," even when compared to a low-risk national environment. This strong performance suggests a culture that values substantive contributions over artificially inflated publication counts. By avoiding the fragmentation of coherent studies into minimal publishable units, the institution upholds the integrity of the scientific evidence base and prioritizes the generation of significant new knowledge.