Ningxia Normal University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.143

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.303 -0.062
Retracted Output
-0.221 -0.050
Institutional Self-Citation
-0.478 0.045
Discontinued Journals Output
1.064 -0.024
Hyperauthored Output
-1.286 -0.721
Leadership Impact Gap
-1.259 -0.809
Hyperprolific Authors
-1.413 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.001 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Ningxia Normal University presents a balanced scientific integrity profile, with an overall score of -0.143 indicating performance aligned with the global average, characterized by significant strengths in some areas and specific vulnerabilities requiring attention. The institution demonstrates exceptional control over authorship and leadership metrics, with very low risk in Hyper-Authored Output, Hyperprolific Authors, and a minimal Gap between its total and led-research impact. This suggests a robust culture of accountability and strong internal scientific capacity. However, this solid foundation is contrasted by medium-risk indicators in the Rate of Multiple Affiliations and, most notably, the Rate of Output in Discontinued Journals, which signal a need for enhanced strategic oversight in affiliation policies and publication channel selection. According to SCImago Institutions Rankings data, the university's primary thematic strengths are concentrated in Earth and Planetary Sciences, Physics and Astronomy, and Energy. While the institution's specific mission was not available for this analysis, the identified risks, particularly the channeling of research to low-quality venues, could undermine any commitment to academic excellence and social responsibility. To build upon its clear strengths, it is recommended that the university focuses on developing targeted policies and training to mitigate the risks associated with publication strategies and affiliation management, thereby ensuring its research impact is both sustainable and reputable.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

With an institutional Z-score of 0.303 compared to the national average of -0.062, the university displays a moderate deviation from the country's norm, showing a greater sensitivity to this risk factor than its peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, the university's higher rate warrants a review of its affiliation policies. This elevated signal suggests a potential for strategic attempts to inflate institutional credit or engage in “affiliation shopping,” a practice that diverges from the national standard and could dilute the institution's distinct academic identity.

Rate of Retracted Output

The institution demonstrates a prudent profile in its quality control processes, with a Z-score of -0.221, which is notably lower than the national average of -0.050. This indicates that the university manages its pre-publication review with more rigor than the national standard. Retractions can be complex events, but a lower-than-average rate suggests that the institution's quality control mechanisms are effective in preventing systemic errors and that its integrity culture promotes responsible supervision, minimizing the need for post-publication corrections.

Rate of Institutional Self-Citation

Ningxia Normal University shows significant institutional resilience, with a Z-score of -0.478 in a national context where the risk is medium (country Z-score: 0.045). This performance indicates that the university's control mechanisms effectively mitigate the systemic risks of academic isolation prevalent in the country. A certain level of self-citation is natural, but the university's very low rate demonstrates that its research is validated by the broader external community, successfully avoiding the 'echo chambers' and endogamous impact inflation that can arise when an institution's influence is oversized by internal dynamics rather than global recognition.

Rate of Output in Discontinued Journals

The university's Z-score of 1.064 for this indicator, in stark contrast to the national average of -0.024, signals a moderate deviation and highlights an area of significant concern. This score suggests the institution is more susceptible to this risk than its national counterparts. A high proportion of publications in discontinued journals constitutes a critical alert regarding due diligence in selecting dissemination channels. This pattern indicates that a notable portion of scientific production is being channeled through media that may not meet international ethical or quality standards, exposing the institution to severe reputational risks and suggesting an urgent need for information literacy to avoid wasting resources on 'predatory' or low-quality practices.

Rate of Hyper-Authored Output

With a Z-score of -1.286, well below the national average of -0.721, the institution maintains a low-profile consistency, showing a complete absence of risk signals in an already low-risk national environment. This very low rate indicates that authorship practices are well-governed and transparent. It reflects a clear understanding of when extensive author lists are legitimate, such as in 'Big Science' collaborations, and successfully avoids the risk of author list inflation or 'honorary' authorships, thereby upholding individual accountability.

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

The institution exhibits total operational silence in this area, with a Z-score of -1.259 that is even more favorable than the strong national average of -0.809. This exceptional result signifies a complete absence of risk, indicating that the impact of research led by the university's own authors is robust and self-sufficient. This performance demonstrates that the institution's scientific prestige is built on a foundation of real internal capacity and intellectual leadership, rather than being dependent on the contributions of external collaborators where it does not lead.

Rate of Hyperprolific Authors

The university demonstrates a clear case of preventive isolation, with an extremely low Z-score of -1.413 in a country where this is a medium-risk issue (national Z-score: 0.425). This result shows that the institution does not replicate the risk dynamics observed in its environment. By effectively curbing extreme individual publication volumes, the university promotes a healthy balance between quantity and quality, avoiding the potential for coercive authorship or other practices that prioritize metric inflation over the integrity of the scientific record.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution's performance is consistent with the low-risk national standard (country Z-score: -0.010), showing an absence of risk signals. This indicates a strong commitment to seeking external, independent peer review for its research. By avoiding over-reliance on its own journals, the university mitigates potential conflicts of interest and academic endogamy, ensuring its scientific production is validated through standard competitive channels and enhancing its global visibility.

Rate of Redundant Output

The university's Z-score of -0.001 represents a slight divergence from the national context, where the risk is practically non-existent (country Z-score: -0.515). This indicates the emergence of early risk signals that are not present in the rest of the country. While the current level is low, this deviation suggests a potential for data fragmentation or 'salami slicing' to artificially inflate productivity. This incipient vulnerability warrants review to ensure that the institutional focus remains on publishing significant new knowledge rather than dividing studies into minimal publishable units.

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