21 citations · 42 across the 6 of their papers we have counts for
6 papers
Can human clinical rationales improve the performance and explainability of clinical text classification models?
Christoph Metzner, Shang Gao, Drahomira Herrmannova +1
AI-driven clinical text classification is vital for explainable automated retrieval of population-level health information. This work investigates whether human-based clinical rati…
Do Authors Deposit on Time? Tracking Open Access Policy Compliance
Drahomira Herrmannova, Nancy Pontika, Petr Knoth
Recent years have seen fast growth in the number of policies mandating Open Access (OA) to research outputs. We conduct a large-scale analysis of over 800 thousand papers from repo…
Unsupervised Identification of Study Descriptors in Toxicology Research: An Experimental Study
Drahomira Herrmannova, Steven R. Young, Robert M. Patton +3
Identifying and extracting data elements such as study descriptors in publication full texts is a critical yet manual and labor-intensive step required in a number of tasks. In thi…
Do Citations and Readership Identify Seminal Publications?
Drahomira Herrmannova, Robert M. Patton, Petr Knoth +1
In this paper, we show that citation counts work better than a random baseline (by a margin of 10%) in distinguishing excellent research, while Mendeley reader counts don't work be…
Simple Yet Effective Methods for Large-Scale Scholarly Publication Ranking
Drahomira Herrmannova, Petr Knoth
With the growing amount of published research, automatic evaluation of scholarly publications is becoming an important task. In this paper we address this problem and present a sim…
Semantometrics: Towards Fulltext-based Research Evaluation
Drahomira Herrmannova, Petr Knoth
Over the recent years, there has been a growing interest in developing new research evaluation methods that could go beyond the traditional citation-based metrics. This interest is…