| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
1.092 | 0.401 |
|
Retracted Output
|
0.530 | 0.228 |
|
Institutional Self-Citation
|
5.792 | 2.800 |
|
Discontinued Journals Output
|
0.636 | 1.015 |
|
Hyperauthored Output
|
-0.459 | -0.488 |
|
Leadership Impact Gap
|
0.643 | 0.389 |
|
Hyperprolific Authors
|
1.569 | -0.570 |
|
Institutional Journal Output
|
8.265 | 0.979 |
|
Redundant Output
|
3.595 | 2.965 |
Altai State University presents a complex scientific integrity profile, marked by an overall risk score of 1.857 that indicates significant vulnerabilities requiring strategic intervention. While the institution demonstrates commendable control in specific areas, such as a statistically normal rate of hyper-authored output, its overall performance is critically impacted by high-risk signals in three key areas: an excessive rate of publication in its own institutional journals, an alarming level of institutional self-citation, and a significant rate of redundant output. These weaknesses suggest a pattern of academic endogamy that contrasts with the institution's strengths in several research fields, as evidenced by its SCImago Institutions Rankings within the Russian Federation, particularly in Environmental Science (ranked 9th), Chemistry (15th), and Agricultural and Biological Sciences (20th). This internal focus directly challenges the University's mission to "link its research and teaching at the highest world level" and "actively promote international cooperation." Practices that inflate metrics internally undermine the pursuit of a "distinguished learning environment" based on globally recognized excellence. To fully realize its mission and leverage its thematic strengths, it is recommended that the University urgently review its publication and evaluation policies to foster a culture of external validation, international engagement, and impactful, non-redundant scientific contribution.
The institution's Z-score of 1.092 for multiple affiliations is notably higher than the national average of 0.401. This indicates that the University is more exposed than its national peers to practices that, while often legitimate, can carry integrity risks. A disproportionately high rate can signal strategic attempts to inflate institutional credit or "affiliation shopping," where researchers leverage multiple affiliations to maximize visibility or resources. Given that the institution's rate exceeds the national norm, it suggests a higher propensity for these behaviors, warranting a closer examination of affiliation policies to ensure they reflect genuine, substantive collaborations rather than metric-driven strategies.
With a Z-score of 0.530, the University's rate of retracted output is more than double the national average of 0.228. This elevated score suggests that the institution is more exposed to the underlying causes of retractions compared to its peers. While some retractions stem from honest error correction, a rate significantly higher than the norm alerts to a potential systemic vulnerability in the institution's integrity culture. It may indicate that quality control mechanisms prior to publication are failing more frequently than elsewhere in the country, pointing to possible recurring malpractice or a lack of methodological rigor that requires immediate qualitative verification by management to safeguard scientific quality.
The University's Z-score for institutional self-citation is an alarming 5.792, a figure that dramatically surpasses the already high national average of 2.800. This result constitutes a global red flag, positioning the institution as a leader in this high-risk practice within a nation already facing significant challenges in this area. Such a disproportionately high rate signals a critical risk of endogamous impact inflation and the formation of a scientific "echo chamber," where the institution validates its own work without sufficient external scrutiny. This practice suggests that the institution's academic influence may be oversized by internal dynamics rather than by recognition from the global scientific community, demanding an urgent audit of evaluation and citation policies.
The institution demonstrates effective risk management regarding publication in discontinued journals, with a Z-score of 0.636 that is considerably lower than the national average of 1.015. This indicates a more discerning approach to selecting publication venues compared to the national trend. By successfully moderating a risk that is more common in its environment, the University shows a stronger due diligence process. This practice protects the institution from the severe reputational damage associated with channeling research through media that fail to meet international ethical or quality standards, and it reflects a positive commitment to avoiding "predatory" or low-quality publishing.
With a Z-score of -0.459, the institution's rate of hyper-authored output aligns closely with the national average of -0.488, reflecting a level of risk that is statistically normal for its context. This alignment suggests that authorship practices are consistent with established disciplinary norms and do not show signs of author list inflation. The data indicates that extensive author lists are likely confined to legitimate "Big Science" collaborations where they are structurally necessary, rather than being a symptom of diluted individual accountability through "honorary" or political authorship practices.
The institution's Z-score of 0.643 for its impact gap is significantly higher than the national average of 0.389, indicating a greater-than-average dependency on external partners for achieving scientific impact. This high value suggests that the University is more exposed to sustainability risks, as its scientific prestige appears to be more exogenous and less structurally embedded than that of its national peers. This wide gap, where global impact is high but the impact of institution-led research is comparatively low, invites critical reflection on whether its excellence metrics are the result of genuine internal capacity or a strategic positioning in collaborations where the institution does not exercise primary intellectual leadership.
The University shows a moderate deviation from the national standard regarding hyperprolific authors, with a Z-score of 1.569 against a national average of -0.570. This discrepancy indicates a greater sensitivity to risk factors associated with extreme publication volumes than its peers. While high productivity can be legitimate, a notable presence of authors publishing at extreme rates challenges the perceived limits of meaningful intellectual contribution. This signal alerts to potential imbalances between quantity and quality, pointing to risks such as coercive authorship or the assignment of authorship without real participation—dynamics that prioritize metrics over the integrity of the scientific record and warrant a review of authorship policies.
The University's Z-score of 8.265 for publications in its own journals is exceptionally high, drastically amplifying a vulnerability that is only moderately present at the national level (Z-score of 0.979). This severe discrepancy indicates an excessive dependence on in-house journals, which creates a significant conflict of interest as the institution acts as both judge and party. This practice is a critical warning of academic endogamy, suggesting that a substantial portion of research may be bypassing independent external peer review. This limits global visibility and raises the risk that internal channels are being used as "fast tracks" to inflate publication metrics without standard competitive validation.
With a Z-score of 3.595, the institution's rate of redundant output significantly exceeds the already high national average of 2.965. This positions the University as a global red flag, leading risk metrics in a country already compromised by this issue. This massive and recurring bibliographic overlap between publications is a strong indicator of data fragmentation or "salami slicing." The high value alerts to a critical risk that studies are being artificially divided into minimal publishable units to inflate productivity metrics. This practice not only distorts the available scientific evidence but also overburdens the peer review system, prioritizing publication volume over the generation of significant new knowledge.
