Tl;DR: SciSight is a novel framework for exploratory search of COVID-19 research that integrates two key capabilities: first, exploring interactions between biomedical facets (e.g., proteins, genes, drugs, diseases, patient characteristics); and second, discovering groups of researchers and how they are co... nnected.
Tl;DR: An analysis of 2.87 million computer science papers reveals that, if current trends continue, parity between the number of male and female authors will not be reached in this century. With optimistic projection models, gender parity is forecast to be reached by 2100 in CS, but projected to be reache... d within two to three decades in the biomedical literature.
Tl;DR: We analyzed over two million academic papers, and found that China has already surpassed the US in published AI papers. If current trends continue, China is poised to overtake the US in the most-cited 50% of papers this year, in the most-cited 10% of papers next year, and in the 1% of most-cited pap... ers by 2025.
Tl;DR: We extracted counts of women and men from over 40k published clinical trial articles and found substantial underrepresentation of female participants in 7 of 11 disease categories, especially HIV/AIDS, chronic kidney diseases, and cardiovascular diseases.
Tl;DR: We explore the degree to which papers prepublished on arXiv garner more citations, in an attempt to paint a sharper picture of fairness issues related to prepublishing. We observe that papers submitted to arXiv before acceptance have, on average, 65% more citations in the following year compared to... papers submitted after, even after accounting for variables such as venue and author influentialness.
Tl;DR: We present the first public dataset of scientific peer reviews available for research purposes, containing 14.7K paper drafts and the corresponding accept/reject decisions in top-tier venues.