| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
-1.241 | -0.546 |
|
Retracted Output
|
-0.174 | -0.222 |
|
Institutional Self-Citation
|
-1.179 | 0.950 |
|
Discontinued Journals Output
|
0.205 | 0.249 |
|
Hyperauthored Output
|
0.120 | 0.088 |
|
Leadership Impact Gap
|
2.988 | 0.543 |
|
Hyperprolific Authors
|
-1.413 | -0.585 |
|
Institutional Journal Output
|
-0.268 | 0.985 |
|
Redundant Output
|
0.853 | 0.244 |
Trnava University in Trnava demonstrates a robust scientific integrity profile, marked by an overall score of -0.164. The institution exhibits exceptional strengths in practices that foster external validation and mitigate academic endogamy, including remarkably low rates of Institutional Self-Citation and Output in Institutional Journals, where it significantly outperforms national trends. Further strengths are evident in its prudent management of authorship, with very low indicators for Multiple Affiliations and Hyperprolific Authors. However, areas for strategic focus emerge in publication quality and research autonomy. The medium-risk signals for Redundant Output (Salami Slicing), Output in Discontinued Journals, and a particularly high Gap between its overall impact and the impact of its led research suggest vulnerabilities. These indicators point to a potential dependency on external partners for impact and a need to refine dissemination strategies. These findings are particularly relevant given the institution's strong national standing in key thematic areas, including Psychology and Arts and Humanities, as per SCImago Institutions Rankings data. While a specific mission statement was not available, these risks could challenge any university's core commitment to achieving sustainable excellence and social responsibility through the generation of original, high-quality knowledge. The university has a solid integrity foundation and is well-positioned to convert these moderate risks into future strengths by focusing on fostering independent research leadership and enhancing quality controls in its publication pipeline.
The institution's Z-score for this indicator is -1.241, positioning it in a very low-risk category and well below the national average of -0.546. This demonstrates a low-profile consistency, where the complete absence of risk signals aligns with and even improves upon the national standard. While multiple affiliations can be a legitimate outcome of researcher mobility or partnerships, disproportionately high rates can signal strategic attempts to inflate institutional credit. The university's very low score indicates that its affiliation practices are transparent and free from patterns associated with "affiliation shopping," reflecting a clear and stable collaborative framework.
With a Z-score of -0.174, the institution's rate of retracted output is low and closely mirrors the national average of -0.222. This alignment suggests a state of statistical normality, where the risk level is as expected for its context. Retractions are complex events, and a low, controlled rate can signify responsible supervision and the honest correction of errors. The data does not suggest that quality control mechanisms are failing systemically; rather, it indicates that the institution's pre-publication review processes are functioning in line with the national standard, without evidence of recurring malpractice or a lack of methodological rigor.
The institution presents a Z-score of -1.179, a figure that indicates a very low risk, especially when contrasted with the national average of 0.950, which falls into the medium-risk category. This notable difference suggests a dynamic of preventive isolation, where the center successfully avoids the risk patterns prevalent in its national environment. A certain level of self-citation is natural and reflects the continuity of established research lines. However, the institution's extremely low rate demonstrates a strong outward-looking orientation, effectively mitigating the risk of creating 'echo chambers' where work is validated without sufficient external scrutiny. This result points to a healthy integration into the global scientific community, where academic influence is earned through broad recognition rather than being inflated by internal dynamics.
The institution's Z-score of 0.205 for output in discontinued journals is at a medium-risk level, reflecting a systemic pattern that is consistent with the national average of 0.249. This alignment suggests that the challenge of selecting appropriate dissemination channels is shared across the national academic landscape. A high proportion of publications in such journals constitutes a critical alert regarding due diligence. This medium-risk score indicates that a portion of the university's scientific production is being channeled through media that may not meet international ethical or quality standards, exposing it to reputational risks and suggesting a need to enhance information literacy to avoid "predatory" or low-quality practices.
With a Z-score of 0.120, the institution's rate of hyper-authored output is at a medium-risk level, closely tracking the national average of 0.088. This similarity points to a systemic pattern, where the institution's practices reflect a broader trend within the country. Outside of "Big Science" contexts where extensive author lists are normal, a high rate can indicate author list inflation, which dilutes individual accountability. This moderate signal serves as a prompt for the institution to ensure its authorship policies can distinguish between necessary massive collaboration and questionable practices like "honorary" or political authorship.
With a Z-score of 2.988, the institution shows a medium-risk signal that is significantly more pronounced than the national average of 0.543. This high exposure indicates that the institution is more prone than its national peers to a dependency on external collaboration for its citation impact. A wide positive gap—where global impact is high but the impact of research led by the institution itself is low—signals a potential sustainability risk. This value suggests that a substantial portion of the institution's scientific prestige may be dependent and exogenous, rather than structural. This finding invites a strategic reflection on whether its excellence metrics result from genuine internal capacity or from a positioning in collaborations where the institution does not exercise primary intellectual leadership, a crucial factor for long-term autonomy and growth.
The institution exhibits a Z-score of -1.413, indicating a very low risk in hyperprolific authorship, a rate considerably lower than the national average of -0.585. This demonstrates a low-profile consistency, where the institution not only aligns with a low-risk environment but sets an even higher standard. Extreme individual publication volumes can challenge the limits of meaningful intellectual contribution and may point to risks such as coercive authorship or "salami slicing." The university's very low score is a positive signal of a healthy balance between quantity and quality, suggesting that its research culture prioritizes scientific integrity over the inflation of productivity metrics.
The institution's Z-score of -0.268 places it in the very low-risk category, a stark and positive contrast to the national average of 0.985, which indicates a medium-risk trend. This significant difference demonstrates a form of preventive isolation, where the university does not replicate the risk dynamics observed in its environment. Excessive dependence on in-house journals can raise conflicts of interest and lead to academic endogamy by bypassing independent external peer review. The institution's minimal reliance on its own journals is a clear strength, signaling a commitment to global visibility and competitive validation, thereby avoiding the use of internal channels as potential 'fast tracks' for publication.
The institution's Z-score for redundant output is 0.853, a medium-risk value that indicates high exposure, as it is notably higher than the national average of 0.244. This suggests the institution is more prone to this risk factor than its peers. Massive bibliographic overlap between simultaneous publications often indicates data fragmentation or "salami slicing," the practice of dividing a coherent study into minimal publishable units to artificially inflate productivity. This elevated score serves as an alert that such practices may be present, which could distort the scientific evidence and prioritize volume over the generation of significant new knowledge.
