Northeast Normal University

Region/Country

Asiatic Region
China
Universities and research institutions

Overall

-0.235

Integrity Risk

low

Indicators relating to the period 2020-2024

Indicator University Z-score Average country Z-score
Multi-affiliation
0.603 -0.062
Retracted Output
-0.390 -0.050
Institutional Self-Citation
-0.234 0.045
Discontinued Journals Output
-0.005 -0.024
Hyperauthored Output
-1.020 -0.721
Leadership Impact Gap
-1.572 -0.809
Hyperprolific Authors
-0.043 0.425
Institutional Journal Output
-0.268 -0.010
Redundant Output
-0.091 -0.515
0 represents the global average
AI-generated summary report

EXECUTIVE SUMMARY AND STRATEGIC VISION

Northeast Normal University demonstrates a robust scientific integrity profile, with an overall risk score of -0.235 indicating performance that is significantly better than the global average. The institution's primary strengths lie in its exceptionally low rates of retracted output, minimal dependence on external partners for impact, and negligible use of institutional journals, showcasing strong internal quality controls and sustainable research capacity. These positive indicators are further reinforced by the university's resilience against national trends in institutional self-citation and hyperprolific authorship. According to SCImago Institutions Rankings data, this operational excellence is reflected in strong national rankings in key thematic areas such as Psychology, Business, Management and Accounting, Social Sciences, and Biochemistry, Genetics and Molecular Biology. However, a medium-risk signal in the Rate of Multiple Affiliations presents a moderate deviation from the national standard and requires strategic attention. This specific vulnerability could potentially undermine the institution's mission to be a credible "engine" of scientific research and to "enhance educational, economic and social relations," as questionable affiliation practices can erode trust and contradict the pursuit of genuine excellence. To fully align its practices with its mission, it is recommended that the university review its affiliation policies to ensure they reflect the same high standards of transparency and integrity evident across its other research activities.

ANALYSIS BY INDICATOR

Rate of Multiple Affiliations

The institution presents a Z-score of 0.603, which contrasts with the national average of -0.062. This moderate deviation 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, the observed score suggests a need to review current practices. A disproportionately high rate can signal strategic attempts to inflate institutional credit or “affiliation shopping,” which could compromise the transparency of research contributions and affect the institution's reputation for collaborative integrity.

Rate of Retracted Output

With a Z-score of -0.390, the institution demonstrates an exceptionally low rate of retractions, performing even better than the national average of -0.050. This low-profile consistency suggests that the university's quality control mechanisms are robust and well-aligned with the country's standards for scientific rigor. Retractions are complex events, but a rate significantly below the average, as seen here, is a strong positive signal. It indicates that the institution's pre-publication supervision and integrity culture are effective, successfully preventing the systemic failures or methodological lapses that can lead to later withdrawals of work.

Rate of Institutional Self-Citation

The institution's Z-score of -0.234 stands in stark contrast to the national average of 0.045, showcasing remarkable institutional resilience. While the national context shows a medium-risk tendency towards self-citation, the university's control mechanisms appear to effectively mitigate this systemic risk. A certain level of self-citation is natural, but the institution's low score demonstrates that it successfully avoids the 'echo chambers' and endogamous impact inflation that can arise from excessive self-validation. This commitment to external scrutiny ensures that the university's academic influence is a result of global community recognition, not just internal dynamics.

Rate of Output in Discontinued Journals

The institution's Z-score of -0.005 is closely aligned with the national average of -0.024, reflecting a state of statistical normality. This indicates that the risk level for publishing in journals that fail to meet international standards is as expected for its context and size. This alignment demonstrates consistent due diligence in selecting dissemination channels across the institution, effectively avoiding the severe reputational risks associated with 'predatory' or low-quality publishing practices and ensuring that research resources are channeled toward credible and impactful venues.

Rate of Hyper-Authored Output

With a Z-score of -1.020, the institution exhibits a more prudent profile than the national average of -0.721. Although both scores fall within a low-risk range, the university's lower value suggests it manages its authorship processes with greater rigor than the national standard. This indicates a strong capacity to distinguish between necessary massive collaboration, typical in 'Big Science,' and practices of author list inflation. By maintaining transparency and accountability in authorship, the institution upholds the value of individual contributions and avoids the dilution of responsibility.

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

The institution's Z-score of -1.572 is exceptionally low, signaling total operational silence in this risk area and performing significantly better than the already low national average of -0.809. This absence of risk signals, even below the national baseline, is a powerful indicator of the university's scientific autonomy and sustainability. It suggests that the institution's scientific prestige is structural and derived from its own internal capacity for intellectual leadership, rather than being dependent on strategic positioning in collaborations where it does not lead. This reflects a mature and self-sufficient research ecosystem.

Rate of Hyperprolific Authors

The institution shows a Z-score of -0.043, demonstrating effective institutional resilience against a national trend, where the country's average is 0.425. While the national system shows a medium-level vulnerability to hyperprolificacy, the university acts as a filter, maintaining a low-risk profile. This suggests a healthy balance between quantity and quality in its research culture. By mitigating the pressures that can lead to extreme publication volumes, the institution avoids associated risks such as coercive authorship or the assignment of credit without real participation, thereby protecting the integrity of its scientific record.

Rate of Output in Institutional Journals

With a Z-score of -0.268, the institution's very low rate of publication in its own journals is consistent with the low-risk national environment (Z-score of -0.010). This absence of risk signals aligns with national standards and demonstrates a commitment to external validation. By avoiding excessive dependence on in-house journals, the university sidesteps potential conflicts of interest and academic endogamy. This practice ensures that its scientific production bypasses internal 'fast tracks' and is instead subjected to independent, external peer review, which is crucial for building global visibility and credibility.

Rate of Redundant Output

The institution's Z-score of -0.091 indicates a slight divergence from the national context, where the average is -0.515. While the university's risk level is low, it shows signals of activity in an area where the rest of the country is largely inert. This suggests that the practice of fragmenting data, or 'salami slicing,' may be emerging within the institution, even if it is not yet a significant problem. This finding warrants a proactive review to ensure that the focus remains on publishing significant new knowledge rather than artificially inflating productivity metrics by 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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