Qinghai Normal University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.078

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
2.649 -0.062
Retracted Output
-0.512 -0.050
Institutional Self-Citation
-0.511 0.045
Discontinued Journals Output
0.296 -0.024
Hyperauthored Output
-1.019 -0.721
Leadership Impact Gap
-0.180 -0.809
Hyperprolific Authors
-1.413 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
0.096 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Qinghai Normal University presents a balanced integrity profile, with an overall risk score of -0.078 that indicates a general alignment with expected scientific conduct. The institution demonstrates significant strengths in areas of critical importance, including a very low rate of retracted output, minimal incidence of hyperprolific authorship, and negligible use of institutional journals for publication, all of which point to robust internal quality controls and a culture that prioritizes scientific rigor. However, this solid foundation is contrasted by medium-risk indicators in the Rate of Multiple Affiliations, Rate of Output in Discontinued Journals, and Rate of Redundant Output, which require strategic attention. According to SCImago Institutions Rankings data, the university's research strengths are most prominent in Physics and Astronomy, Engineering, Earth and Planetary Sciences, and Social Sciences. While the institution's specific mission was not available for this analysis, the identified vulnerabilities could undermine the credibility and long-term impact of these high-performing areas, conflicting with the universal academic principles of excellence and integrity. To secure its scientific reputation, it is recommended that the university leverage its clear strengths in quality assurance to develop targeted policies and training that address the specific risks of affiliation management, publication venue selection, and research fragmentation.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution exhibits a Z-score of 2.649 in this indicator, a figure that represents a moderate deviation from the national average of -0.062. This difference suggests the university is more exposed to the risk factors associated with multiple affiliations than its national peers. While multiple affiliations are often a legitimate result of researcher mobility or partnerships, this elevated rate warrants a review. It could signal strategic attempts to inflate institutional credit or "affiliation shopping," where affiliations are added for prestige rather than substantive collaboration. A closer examination is necessary to ensure that all declared affiliations correspond to meaningful and transparent research contributions.

Rate of Retracted Output

With a Z-score of -0.512, the institution demonstrates an exceptionally low rate of retracted publications, performing even better than the low-risk national average of -0.050. This low-profile consistency indicates the absence of significant risk signals and aligns with a secure national standard. Such a result suggests that the university's quality control mechanisms prior to publication are effective and that its integrity culture fosters responsible supervision. This performance is a clear strength, reflecting a commitment to methodological rigor that prevents the systemic failures that can lead to retractions.

Rate of Institutional Self-Citation

The institution's Z-score of -0.511 is well within the low-risk category and stands in positive contrast to the medium-risk national average of 0.045. This gap highlights a notable institutional resilience, where internal control mechanisms appear to successfully mitigate systemic risks that are more prevalent across the country. A certain level of self-citation is natural, but the country's average suggests a broader tendency toward 'echo chambers'. Qinghai Normal University, however, avoids this risk of endogamous impact inflation, demonstrating a healthy reliance on external scrutiny and engagement with the global scientific community for validation.

Rate of Output in Discontinued Journals

The university's Z-score of 0.296 places it in the medium-risk category, showing a greater sensitivity to this risk factor compared to the national average of -0.024. This moderate deviation serves as a critical alert regarding the due diligence applied in selecting dissemination channels. A high proportion of publications in discontinued journals indicates that a significant portion of scientific output may be channeled through media failing to meet international ethical or quality standards. This exposes the institution to severe reputational risks and suggests an urgent need to enhance information literacy among researchers to avoid wasting resources on 'predatory' or low-quality publication practices.

Rate of Hyper-Authored Output

Both the institution (Z-score: -1.019) and the country (Z-score: -0.721) fall into the low-risk category for hyper-authorship. However, the university’s score is notably lower, pointing to a prudent profile where authorship processes are managed with more rigor than the national standard. This suggests that the institution's authorship practices are well-calibrated to disciplinary norms, effectively distinguishing between necessary massive collaboration in "Big Science" fields and potentially problematic practices like 'honorary' or political authorship, thereby ensuring individual accountability and transparency.

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

The institution's Z-score of -0.180 indicates a slight divergence from the national context, where the risk is virtually non-existent (Z-score: -0.809). This score suggests the presence of minor risk signals at the university that do not appear in the rest of the country. While the gap is small, it points toward a potential sustainability risk where scientific prestige may be partially dependent on collaborations in which the institution does not exercise primary intellectual leadership. This invites reflection on strategies to strengthen internal capacity and ensure that excellence metrics are a direct result of endogenous research leadership.

Rate of Hyperprolific Authors

A Z-score of -1.413 places the institution in the very low-risk category, a stark contrast to the medium-risk national average of 0.425. This demonstrates a clear case of preventive isolation, where the university does not replicate the risk dynamics observed in its wider environment. Extreme individual publication volumes can challenge the limits of meaningful intellectual contribution. This exceptionally low score indicates a healthy institutional culture that prioritizes quality over quantity, effectively discouraging practices such as coercive authorship or metric-chasing that could compromise the integrity of the scientific record.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution shows a very low reliance on its own journals, performing better than the already low-risk national average of -0.010. This low-profile consistency, showing an even greater absence of risk than the national standard, is a positive signal. It indicates a strong commitment to seeking independent, external peer review for its research, thereby avoiding the conflicts of interest and academic endogamy that can arise from excessive dependence on in-house publications. This practice enhances the global visibility and competitive validation of its scientific output.

Rate of Redundant Output (Salami Slicing)

The institution's Z-score of 0.096 registers as a medium-level risk, creating a significant monitoring alert because this level is highly unusual for the national standard, which sits at a very low-risk average of -0.515. This discrepancy requires a careful review of its causes. A high value in this indicator warns of the potential practice of dividing a coherent study into minimal publishable units to artificially inflate productivity metrics. This 'salami slicing' not only distorts the available scientific evidence but also suggests a research culture that may prioritize volume over the generation of significant, impactful new knowledge.

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