Hubei Normal University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.244

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.432 -0.062
Retracted Output
-0.456 -0.050
Institutional Self-Citation
0.028 0.045
Discontinued Journals Output
0.032 -0.024
Hyperauthored Output
-0.965 -0.721
Leadership Impact Gap
-0.415 -0.809
Hyperprolific Authors
-0.610 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.036 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Hubei Normal University demonstrates a robust and commendable scientific integrity profile, reflected in an overall risk score of -0.244. This performance indicates a governance framework that is generally more rigorous than the national standard. The institution's primary strengths lie in its exceptionally low rates of retracted output and publications in institutional journals, alongside a resilient control over hyperprolific authorship that contrasts sharply with national trends. These areas signal a strong culture of quality control and a commitment to external validation. However, areas requiring strategic attention include moderate risk levels in multiple affiliations, institutional self-citation, and publications in discontinued journals, which suggest vulnerabilities that could impact long-term reputation. According to SCImago Institutions Rankings data, the university's research strengths are most prominent in Pharmacology, Toxicology and Pharmaceutics; Energy; Chemistry; and Biochemistry, Genetics and Molecular Biology. While the institution's specific mission statement was not available for this analysis, the identified risks, particularly those related to publication channels and affiliation strategies, could potentially undermine any institutional commitment to academic excellence and social responsibility. To secure its standing in its key thematic areas, it is recommended that the university leverage its solid integrity foundation to proactively address these moderate vulnerabilities, thereby ensuring its research practices fully align with its strategic ambitions.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of 0.432, a notable deviation from the national average of -0.062. This indicates that the university shows a greater sensitivity to risk factors in this area than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this moderate risk level suggests a need to review affiliation practices. The divergence from the national standard warrants an examination to ensure that these patterns reflect genuine collaboration rather than strategic attempts to inflate institutional credit through practices like “affiliation shopping,” which could compromise the transparency of institutional contributions.

Rate of Retracted Output

With a Z-score of -0.456, the institution demonstrates an exceptionally low rate of retracted publications, performing significantly better than the already low-risk national average of -0.050. This low-profile consistency suggests that the university's internal quality control and supervision mechanisms are highly effective. The near-absence of these risk signals aligns with a culture of scientific responsibility, where retractions, if they occur, are more likely the result of honest correction of unintentional errors. This performance indicates that systemic failures in pre-publication review are not a concern, reflecting a strong commitment to research integrity.

Rate of Institutional Self-Citation

The institution's Z-score for self-citation is 0.028, which is closely aligned with the national average of 0.045. This similarity suggests the university's behavior is part of a systemic pattern common across the country. A certain level of self-citation is natural, reflecting the continuity of research lines. However, this shared medium-risk level warns of a potential for 'echo chambers' where work is validated internally without sufficient external scrutiny. This practice, if widespread, can lead to endogamous impact inflation, suggesting that academic influence may be shaped more by internal dynamics than by recognition from the global scientific community.

Rate of Output in Discontinued Journals

The university's Z-score of 0.032 in this indicator marks a moderate deviation from the national average of -0.024, which is in the low-risk category. This discrepancy serves as a critical alert regarding the institution's due diligence in selecting dissemination channels. A Z-score at this level indicates that a portion of its scientific output is being channeled through media that may not meet international ethical or quality standards. This exposes the institution to severe reputational risks associated with 'predatory' or low-quality practices and suggests an urgent need to enhance information literacy among researchers to avoid misdirecting valuable resources.

Rate of Hyper-Authored Output

With a Z-score of -0.965, the institution displays a prudent profile, managing its authorship practices with more rigor than the national standard (-0.721). This low rate indicates a well-controlled approach to author attribution. The data suggests that the university successfully distinguishes between necessary large-scale collaboration and questionable practices like author list inflation or 'honorary' authorships. This responsible management enhances individual accountability and the transparency of contributions within its research output.

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

The institution's Z-score of -0.415 represents a slight divergence from the national average of -0.809, which is in the very low-risk category. This shows a minor signal of risk activity that is not prevalent in the rest of the country. The small positive gap suggests that the university's scientific prestige may have a minor dependency on external collaborations where it does not exercise full intellectual leadership. While the risk is low, this invites a strategic reflection on how to further strengthen the impact derived from its own structural capacity and internally-led research initiatives.

Rate of Hyperprolific Authors

The university demonstrates significant institutional resilience with a Z-score of -0.610, contrasting sharply with the medium-risk national average of 0.425. This indicates that its internal control mechanisms are effectively mitigating systemic risks present elsewhere in the country. By maintaining a low rate of hyperprolific authors, the institution shows a commitment to balancing quantity with quality. This suggests the presence of policies or a culture that discourages practices such as coercive authorship or assigning credit without meaningful intellectual contribution, thereby protecting the integrity of its scientific record.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution's rate of publication in its own journals is exceptionally low, far below the national average of -0.010. This low-profile consistency signals a strong commitment to seeking validation through independent, external peer review. By avoiding over-reliance on in-house journals, the university effectively mitigates potential conflicts of interest and the risk of academic endogamy. This practice enhances the global visibility and credibility of its research, demonstrating that its output competes successfully in standard competitive channels rather than using internal 'fast tracks'.

Rate of Redundant Output

A slight divergence is noted in this indicator, with the institution's Z-score at -0.036 (low risk) compared to the country's very low-risk score of -0.515. This suggests the emergence of minor risk signals at the university that are largely absent from the national environment. While the level is not alarming, it points to a potential, albeit small, presence of data fragmentation or 'salami slicing' to artificially inflate productivity metrics. This practice, which prioritizes volume over significant new knowledge, warrants monitoring to ensure it does not become an established pattern that could distort the scientific record.

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