Shandong Women's University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

0.995

Integrity Risk

medium

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.670 -0.062
Retracted Output
1.216 -0.050
Institutional Self-Citation
-1.684 0.045
Discontinued Journals Output
4.545 -0.024
Hyperauthored Output
-1.401 -0.721
Leadership Impact Gap
-0.132 -0.809
Hyperprolific Authors
-1.413 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.336 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Shandong Women's University presents a profile of pronounced contrasts, achieving a high overall integrity score of 0.995 that reflects significant strengths in internal governance, yet simultaneously displaying critical vulnerabilities in specific areas of its publication practices. The institution demonstrates exceptional control over authorship ethics and citation patterns, with very low risk in institutional self-citation, hyper-authored output, hyperprolific authors, and output in its own journals. These strengths suggest a robust internal culture that successfully insulates the university from certain systemic risks prevalent at the national level. However, this positive landscape is severely undermined by significant-risk indicators in retracted output and publications in discontinued journals, which pose a direct threat to its scientific reputation. Academically, the university shows notable strength within China in areas such as Economics, Econometrics and Finance, and Arts and Humanities, according to SCImago Institutions Rankings data. While the institution's specific mission was not available for this analysis, the identified risks related to publication quality and retractions are fundamentally at odds with the universal academic pursuit of excellence and social responsibility. It is therefore recommended that the university leverage its demonstrated governance capabilities to implement targeted interventions aimed at strengthening pre-publication quality control and enhancing researcher literacy in selecting reputable dissemination channels, thereby protecting its valuable academic contributions and institutional integrity.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution's Z-score of 0.670 moderately deviates from the national average of -0.062, indicating a greater sensitivity to this risk factor than its peers across the country. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this elevated rate suggests that the university's engagement in such practices is more pronounced than the national standard. This divergence warrants a review to ensure that these affiliations correspond to genuine collaborations and are not being used as a strategic attempt to inflate institutional credit or engage in “affiliation shopping,” a practice that can distort institutional performance metrics.

Rate of Retracted Output

There is a severe discrepancy between the institution's Z-score of 1.216 and the country's low-risk average of -0.050. This atypical level of activity requires a deep integrity assessment. Retractions are complex events, but a rate this significantly higher than the national baseline points to a potential systemic vulnerability in the institution's integrity culture. The data strongly suggests that quality control mechanisms prior to publication may be failing, indicating possible recurring malpractice or a lack of methodological rigor that demands immediate qualitative verification by management to prevent further damage to the university's scientific credibility.

Rate of Institutional Self-Citation

The institution exhibits a state of preventive isolation with a Z-score of -1.684, in stark contrast to the country's medium-risk average of 0.045. This demonstrates that the university does not replicate the risk dynamics observed in its environment. A certain level of self-citation is natural, but this exceptionally low rate signals a strong reliance on external validation and a healthy integration into the global scientific community. By avoiding the 'echo chambers' where an institution validates its own work, Shandong Women's University ensures its academic influence is a result of broad recognition rather than being oversized by internal dynamics.

Rate of Output in Discontinued Journals

A severe discrepancy exists between the institution's critical Z-score of 4.545 and the country's low-risk average of -0.024. This constitutes a major alert regarding the due diligence in selecting dissemination channels. A Z-score of this magnitude indicates that a significant portion of the university's scientific production is being channeled through media that do not meet international ethical or quality standards. This practice exposes the institution to severe reputational risks and suggests an urgent need for information literacy and policy implementation to prevent the waste of resources on 'predatory' or low-quality journals.

Rate of Hyper-Authored Output

With a Z-score of -1.401, the institution demonstrates low-profile consistency, as its absence of risk signals aligns with the national standard (Z-score -0.721). This very low rate indicates that authorship practices are well-managed and transparent. The data suggests the institution successfully avoids the risk of author list inflation, thereby ensuring that individual accountability is maintained and authorship credit corresponds to genuine intellectual contribution, distinguishing its output from questionable 'honorary' or political authorship practices.

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

The institution's Z-score of -0.132 shows a slight divergence from the national baseline of -0.809, indicating the emergence of a minor risk signal that is largely absent in the rest of the country. This small but positive gap suggests that the university's scientific prestige may have a minor dependency on collaborations where it does not exercise primary intellectual leadership. While not a significant concern, this invites reflection on strengthening internal capacity to ensure that its high-impact research is increasingly driven by projects led from within, thereby securing a more sustainable and structural foundation for its academic excellence.

Rate of Hyperprolific Authors

The university demonstrates preventive isolation in this area, with a Z-score of -1.413, effectively avoiding the medium-risk dynamics observed at the national level (Z-score 0.425). This very low indicator suggests a healthy institutional balance between productivity and quality. By not showing signals of extreme individual publication volumes, the university mitigates risks such as coercive authorship or the assignment of authorship without real participation, reinforcing a culture that prioritizes the integrity of the scientific record over the simple inflation of metrics.

Rate of Output in Institutional Journals

The institution's Z-score of -0.268 reflects a low-profile consistency, aligning with the low-risk national environment (Z-score -0.010). This indicates a strong commitment to global dissemination and independent external peer review. By avoiding excessive dependence on in-house journals, the university circumvents potential conflicts of interest and the risk of academic endogamy. This practice enhances the global visibility and competitive validation of its research, ensuring its work is scrutinized by the broader scientific community rather than being fast-tracked through internal channels.

Rate of Redundant Output

A slight divergence is noted between the institution's Z-score of -0.336 and the country's very low-risk average of -0.515. This indicates that the university shows minor signals of risk activity that are less prevalent in the national context. While the level is low, this value alerts to a potential tendency to engage in data fragmentation or 'salami slicing,' where a study is divided into minimal publishable units to artificially inflate productivity. This practice should be monitored to ensure that research outputs consistently represent significant new knowledge rather than redundant fragments that can distort the scientific evidence base.

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