StationRank: Aggregate dynamics of the Swiss railway

Increasing availability and quality of actual, as opposed to scheduled, open transport data offers new possibilities for capturing the spatiotemporal dynamics of railway and other networks of social infrastructure. One way to describe such complex phenomena is in terms of stochastic processes. At its core, a stochastic model is domain-agnostic and algorithms discussed here have been successfully used in other applications, including Google’s PageRank citation ranking. Our key assumption is that train routes constitute meaningful sequences analogous to sentences of literary text. A corpus of routes is thus susceptible to the same analytic tool-set as a corpus of sentences. With our experiment in Switzerland, we introduce a method for building Markov Chains from aggregated daily streams of railway traffic data. The stationary distributions under normal and perturbed conditions are used to define systemic risk measures with non-evident, valuable information about railway infrastructure.

4051 Assessing outcomes of Miami CTSI’s Mentored Career Development KL2 Program: Using bibliometric and network visualization approaches to complement traditional outcome metrics

OBJECTIVES/GOALS: The goal of this project was to assess the scientific impact of Miami CTSI’s Mentored Career Development (KL2) Program using bibliometric tools and network visualization in addition to the traditional metrics used to provide a comprehensive evaluation. METHODS/STUDY POPULATION: Scholarly productivity of KL2 scholars were tracked using REDCap. For bibliometric data analysis and visualization, publications were queried using iCite (NIH Office of Portfolio Analysis) and Web of Science database. A total of 173 publications produced by eight KL2 scholars from 2013-2018 were analyzed and categorized into pre-award, during award, and post-award periods. iCite was used to assess scientific influence and translation. Scientific networks and collaboration were visualized using VOSviewer (Centre for Science and Technology Studies, Leiden University). CTSA Common Metrics were tracked using the Results Based Accountability framework. RESULTS/ANTICIPATED RESULTS: Albeit of modest size, the Miami CTSI’s KL2 Program had significant scientific productivity and impact in its first five years. Our KL2 scholars’ publications were cited twice as frequently as other papers in their fields. Further, 48% of publications post KL2 award were above the NIH 50th percentile and had higher citation impact compared to the average NIH-funded paper; 11% were in the top 10% NIH citation ranking. In contrast, only 20% of the publications pre-KL2 award were above the NIH 50th percentile. The program also promoted research collaboration; network visualizations indicate larger co-authorship and organization networks of KL2 scholars post-award. DISCUSSION/SIGNIFICANCE OF IMPACT: Bibliometric and data visualization approaches helped us better identify trends and gauge effectiveness of the KL2 program. These findings provided useful insight into the scientific influence and impact of our scholars’ work.

A technique to identify core journals for neurosurgery using citation scatter analysis and the Bradford distribution across neurosurgery journals

Object The volume of scientific literature doubles approximately every 7 years. The coverage of this literature provided by online compendia is variable and incomplete. It would hence be useful to identify “core” journals in any field and validate whether the h index and impact factor truly identify the core journals in every subject. The core journals in every medical specialty would be those that provide a current and comprehensive coverage of the science in that specialty. Identifying these journals would make it possible for individual physicians to keep abreast of research and clinical progress. Methods The top 10 neurosurgical journals (on the basis of impact factor and h index) were selected. A database of all articles cited in the reference lists of papers published in issues of these journals published in the first quarter of 2012 was generated. The journals were ranked based on the number of papers cited from each. This citation rank list was compared with the h index and impact factor rank lists. The rank list was also examined to see if the concept of core journals could be validated for neurosurgical literature using Bradford's law. Results A total of 22,850 papers spread across 2522 journals were cited in neurosurgical literature over 3 months. Although the top 10 journals were the same, irrespective of ranking criterion (h index, impact factor, citation ranking), the 3 rank lists were not congruent. The top 25% of cited articles obeyed the Bradford distribution; beyond this, there was a zone of increased scatter. Six core journals were identified for neurosurgery. Conclusions The core journals for neurosurgery were identified to be Journal of Neurosurgery, Neurosurgery, Spine, Acta Neurochirurgica, Stroke, and Journal of Neurotrauma. A list of core journals could similarly be generated for every subject. This would facilitate a focused reading to keep abreast of current knowledge. Collated across specialties, these journals could depict the current status of medical science.