Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.

Value accorded to metrics by the stakeholder panel (quantitative scoring).

Non-adjusted scores chosen as benchmarks are shown in bold.

Fundamental changes in the way scientific research is disseminated have inspired the concept of altmetrics, most prominently the Altmetric Attention Score (AAS). The exact relation between the latter and traditional measures of science reception (e.g. citation count) is unknown. In this study, we determined citation counts and AAS as well as the ratio between the two (AAS-to-citation ratio) in 138,339 original research and review articles from 86 neurological journals between 2012 and 2021. The journal impact factor was closely correlated with both citation count (rs = 0.73) and AAS (rs = 0.64), whereas it showed a negative association with the AAS-to-citation ratio (rs = −0.26). Reviews accumulated more citations and a higher AAS than original research, while their AAS-to-citation ratio was significantly lower. Citation count was the only metric significantly associated with the number of publications by country (rs = 0.65). There were notable differences between major neurological subspecialties, with Alzheimer’s disease the article topic having the highest average citation count, AAS, and AAS-to-citation ratio. Our findings suggest that the career of a neurological paper in the academic and public sphere is determined by various and sometimes specific factors. Methods To gain a representative overview of the research in neurology during the decade of interest, we took the top 20 neurology journals by h5 index11 listed on Google Scholar and combined them with the top 50 neurology and clinical neurology journals according to the SCImago Journal Rank (SJR) (https://www.scimagojr.com). Only journals with at least 100 citable documents (i.e. original research or reviews) over the period of interest were considered to avoid potential bias by outliers. Any duplicates were removed. In total, 86 journals were chosen for further analyses. The Web of Science (WoS) Core Collection was used for the identification of articles to be included. Every document from the 86 journals listed as either ‘Article’ or ‘Review’ with a final publication year between 2012 and 2021 was included in the analysis. This timeframe was selected with two reasons in mind: First, the company Altmetric (and with it the AAS) was founded in 2011, so 2012 constitutes the earliest year with full coverage. Second, since the data collection took place in late 2022, the year 2021 was fully covered in the databases and article citations/online dissemination had already been given some time to accumulate. Citation counts and other metadata for each document were retrieved from the WoS Core Collection database. Impact factors for each journal were retrieved through Clarivate’s Journal Citation Reports (2021 being the most recent data available).AAS data were obtained through the Altmetric API using the documents’ unique Digital Object Identifier. All data were collected between the 13th and 15th of November, 2022.

The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind.

Since 2018, Elsevier has generated SDG search queries to help researchers and institutions track and demonstrate progress toward the SDG targets. In the past 5 years, these queries, along with the university’s own data and evidence supporting progress and contributions to the particular SDG outside of research-based metrics, are used for the THE Impact Rankings.

For 2023, the SDGs use the exact same search query and ML algorithm as the Elsevier 2022 SDG mappings, with only minor modifications to five SDGs, namely SDG 1, 4, 5, 7 and 14. In these cases, the queries were shortened by removing exclusion lists based on journal identifiers. These exclusion lists often contained thousands of items to filter out content in journals that were not core to the SDGs.

To replicate the effect of these journal exclusions, sets of keywords were used to closely mimic the effects the journal exclusions had on the SDG content, while greatly reducing the overall query size and complexity. By following this approach, we were able to limit the changes to the publications in each SDG by less than 2 percent for most SDGs, while reducing the query size by 50 percent or more.

These shortened queries also have the added benefit of running faster in Scopus, allowing further analysis of the SDG data to be done more easily.

For each SDG, the full search query, along with further details about the top keyphrases, subfields, journals and keyphrases are available for download.

Most productive journals with at least 600 COVID-19 publications indexed in the Web of Science 2020–2023.

Key challenges in using AI for scientific production.

Comparison of median diversity factors across journals in 2021.

Elements for assessing journal contribution to scientific excellence in diversity, equity and inclusion.

Introduction: A comprehensive analysis of artificial intelligence's (AI) integration into neurosurgery is vital to identify research priorities, address gaps, and inform strategies for equitable innovation. Objective: To conduct a bibliometric analysis of Scopus-indexed (2014-2023) original articles at the intersection of AI and neurosurgery. Method: A descriptive metric study was conducted on 91 original articles, employing productivity, impact, and collaboration indicators. SciVal facilitated data extraction, while VOSviewer 1.6.11 enabled the mapping of co-authorship networks and keyword co-occurrence. IBM SPSS Statistics 27 was used to determine correlations between variables of interest (Kendall’s rank correlation coefficient, statistically significant for p < 0.05). Results: The 91 articles accumulated 2,197 citations (24.1/article), reflecting rising productivity. Most highly cited works (2019–2023) were published in Q1 journals. Dominant neurosurgical areas included neuro-oncology (25.4%) and education (20.9%), with AI applications focused on diagnostic accuracy (20.9%) and predictive tools (17.6%). Citations correlated with author numbers (p = 0.007). World Neurosurgery led in publications (Ndoc = 11), while JAMA Network Open had the highest citations/article (88.7). Author, institutional, and country productivity correlated strongly with citations (p < 0.001). Collaboration was universal (international: 29.7%, national: 53.8%, institutional: 16.5%). Conclusions: The analyzed scientific output exhibited a marked quantitative growth trend and high citation rates, with a predominant focus on leveraging AI to enhance diagnostic accuracy, particularly in neuro-oncology. Publications were concentrated in specialized, high-impact journals and predominantly originated from authors and institutions in high-income, technologically advanced Northern Hemisphere countries, where scientific collaboration played a foundational role in driving research advancements.