Nantong University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.125

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
-0.065 -0.062
Retracted Output
-0.155 -0.050
Institutional Self-Citation
-0.479 0.045
Discontinued Journals Output
0.500 -0.024
Hyperauthored Output
-0.894 -0.721
Leadership Impact Gap
-0.232 -0.809
Hyperprolific Authors
-0.430 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.436 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Nantong University presents a robust scientific integrity profile, with an overall risk score of -0.125 that indicates a performance largely in line with, and in several key areas exceeding, national standards. The institution demonstrates significant strengths in mitigating systemic risks, particularly in managing institutional self-citation and hyperprolific authorship, where it shows much greater control than the national average. This solid foundation is further evidenced by a very low-risk rate of publication in its own journals. The primary area requiring strategic attention is the medium-risk rate of publication in discontinued journals, which deviates from the national trend and warrants a review of researcher guidance on selecting publication venues. This strong integrity framework supports the university's outstanding performance in several key thematic areas, as highlighted by the SCImago Institutions Rankings, including its Top 100 global ranking in Pharmacology, Toxicology and Pharmaceutics, and strong positions in Computer Science, Mathematics, and Environmental Science. While the institutional mission was not specified, these results provide a powerful platform to build upon a vision of academic excellence and social responsibility. Addressing the identified vulnerabilities, especially in publication channel selection, is crucial to ensure that the university's pursuit of excellence is not undermined by reputational risks, thereby reinforcing its commitment to producing high-quality, globally recognized research. A targeted focus on enhancing information literacy for researchers will consolidate this already strong position and ensure long-term scientific integrity.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The university's Z-score of -0.065 for multiple affiliations is statistically normal and aligns almost perfectly with the national average of -0.062. This indicates that the institution's patterns of co-affiliation are entirely consistent with the expected activity for its context and size. The rate of multiple affiliations is at a low-risk level, suggesting that collaborative practices, such as those arising from researcher mobility or partnerships, are being managed within standard parameters without signaling strategic attempts to artificially inflate institutional credit.

Rate of Retracted Output

With a Z-score of -0.155, the university demonstrates a prudent and rigorous approach to quality control, positioning itself well below the national average Z-score of -0.050. This superior performance suggests that the institution's pre-publication review and supervision mechanisms are more effective than the national standard in preventing errors that could lead to retractions. This low rate indicates a healthy integrity culture where potential issues are likely identified and corrected internally, reinforcing the reliability of its published scientific record.

Rate of Institutional Self-Citation

The institution shows remarkable resilience against national trends in self-citation, with a low-risk Z-score of -0.479 compared to the country's medium-risk score of 0.045. This significant positive difference suggests that the university's internal control mechanisms are effectively mitigating the systemic risks of academic endogamy observed elsewhere. A certain level of self-citation is natural, reflecting the continuity of research lines. However, the university's very low rate demonstrates that its academic influence is not inflated by internal dynamics but is validated through broad external scrutiny, avoiding the 'echo chambers' that can limit global scientific integration.

Rate of Output in Discontinued Journals

The university's Z-score of 0.500 represents a medium-risk level, marking a moderate deviation from the low-risk national average of -0.024. This indicates a greater institutional sensitivity to this specific risk factor compared to its peers. A high proportion of output in discontinued journals is a critical alert regarding due diligence in selecting dissemination channels. This score suggests that a segment of the university's research is being channeled through media that may not meet international ethical or quality standards, exposing the institution to reputational risks. This finding highlights a need to enhance information literacy and provide clearer guidance to researchers to avoid wasting resources on 'predatory' or low-quality publication practices.

Rate of Hyper-Authored Output

In the context of hyper-authorship, the university maintains a prudent profile with a Z-score of -0.894, which is significantly lower than the national average of -0.721. This indicates that the institution manages its collaborative processes with more rigor than the national standard. This low rate suggests that the university effectively distinguishes between necessary massive collaboration and practices like 'honorary' authorship, thereby promoting transparency and clear individual accountability in its research output.

Gap between Impact of total output and the impact of output with leadership

The university's Z-score of -0.232 reveals a slight divergence from the national context, which has a very low-risk score of -0.809. This indicates the emergence of a minor risk signal not prevalent across the country. A positive gap, where overall impact is higher than the impact of institution-led research, can signal a dependency on external partners. While the risk level is still low, this value suggests that a portion of the university's scientific prestige may be linked to collaborations where it does not exercise primary intellectual leadership, inviting a strategic reflection on building more structural, endogenous research capacity.

Rate of Hyperprolific Authors

With a Z-score of -0.430, the university demonstrates strong institutional resilience, maintaining a low-risk profile in a national environment characterized by a medium-risk Z-score of 0.425. This suggests that internal governance effectively mitigates the systemic pressures that can lead to hyperprolificacy. Extreme individual publication volumes can challenge the limits of meaningful intellectual contribution. The university's controlled rate indicates a healthy balance between quantity and quality, successfully avoiding risks such as coercive authorship or the inflation of publication lists without real participation.

Rate of Output in Institutional Journals

The university exhibits low-profile consistency with a very low-risk Z-score of -0.268, performing even better than the low-risk national standard (-0.010). This absence of risk signals demonstrates a clear commitment to external validation. While in-house journals can be valuable for local dissemination, an over-reliance on them can create conflicts of interest. The university's minimal use of such channels indicates that its scientific production consistently undergoes independent external peer review, thereby avoiding academic endogamy and ensuring its research competes on a global stage.

Rate of Redundant Output

A slight divergence is noted in the rate of redundant output, where the university's Z-score of -0.436 (low risk) is higher than the country's very low-risk score of -0.515. This suggests the presence of minor risk signals that are not as apparent at the national level. While the overall risk remains low, this indicator warrants attention. Massive bibliographic overlap between publications can indicate 'salami slicing'—the practice of fragmenting a study into minimal units to inflate productivity. This slight signal suggests that monitoring publication patterns for potential data fragmentation could be a proactive measure to ensure that all published work represents significant new knowledge.

This report was automatically generated using Google Gemini to provide a brief analysis of the university scores.
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