NIH Office of Portfolio Analysis (original) (raw)
In response to analytical needs in connection with the SARS‑CoV‑2 pandemic, OPA has developed a comprehensive, expert-curated portfolio of COVID‑19 publications and preprints. Our COVID‑19 portfolio, which includes peer-reviewed articles from PubMed and preprints from arXiv, bioRxiv, ChemRxiv, medRxiv, Qeios, Preprints.org, and Research Square, is updated daily with the latest available data. This resource enables users to explore and analyze the rapidly growing set of advances in COVID‑19 research as they accumulate in real time, and complements efforts by NLM to aggregate full text documents broadly related to COVID-19 and other outbreaks, and articles on COVID‑19 specific to the PubMed database.
You can access our COVID-19 portfolio here.
iCite is a tool to access a dashboard of bibliometrics for papers associated with a portfolio. Users type in a PubMed query or upload the PubMed IDs of articles of interest. iCite has three modules: Influence, Translation, and Open Citations.
iCite: Influence provides Relative Citation Ratio (RCR) values, which measure the scientific influence of each paper by field- and time-adjusting the citations it has received, and benchmarking to the median for NIH publications, the value of which is set at 1.0. Read about how RCR is calculated at PLOS Biology.
iCite: Translation measures how Human, Animal, or Molecular/Cellular Biology-oriented each paper is, and uses this information to track and predict citation by clinical articles. Read about how the Approximate Potential to Translate (APT), a machine learning-based estimate of the likelihood that a paper will be cited in later clinical trials/guidelines is calculated at PLOS Biology.
iCite: Citations disseminates link-level, public-domain citation data from the NIH Open Citation Collection (NIH-OCC). Read about the NIH-OCC at PLOS Biology.
A range of years can be selected, as well as article type (all, or only research articles), and individual articles can be toggled on and off. Users can download a report table with the article-level detail for later use or further visualization.