Article Contents

Overview

iCite is a tool which provides a dashboard for investigating the impact of publications, exploring their scientific influence, and visualizing the progress of published research, all in one place. iCite has been a stand-alone public tool since 2015 and the functionality has been integrated into iSearch Analytics. Toggling to iCite in the Literature dataset allows you to view publication statistics, charts, and translation visualizations for your results.

Learn about the metrics included in iCite. Notice that some of these metrics are also available as facets in the Literature dataset.

Missing Data

Note that not all literature will have RCR calculated due to the time needed for articles to acquire citation data and the fact that Relative Citation Ratio (RCR) and Approximate Potential to Translate (APT) scores are not calculated for preprints, unless they are sourced from PubMed. A specific message will be available behind the Exclamation Point (!) button adjacent to iCite. This will tell you the exact percentage of preprints in your results, along with the exact percentage of missing data for each aforementioned metric. See the example message in the screenshot below which reads, "7.15% of your results are preprints for which we have not yet calculated RCR or APT scores. 48.87% of the remaining publications in your results are likely missing RCR and/or APT because they are too new and/or do not meet the criteria to have a provisional RCR. Find more info here".

Read more about the specific metrics and availability in each iCite module below.

iCite Modules, metrics and visuals

The modules included in iCite are as follows:

iCite: Influence delivers metrics of scientific influence such as the Relative Citation Ratio (RCR), which is field- and time-adjusted and benchmarked to NIH Literature as the baseline (The median NIH funded paper has an RCR of 1). Read about how RCR is calculated at PLOS Biology.*
- Relative Citation Ratio (RCR) is a metric developed within the Office of Portfolio Analysis (OPA) that represents a citation-based measure of scientific influence of one or more articles. Typically, Relative Citation Ratio (RCR) is not available for papers published in the last fiscal year, since, in general, not enough time has passed for citation statistics to meaningfully accrue in that time frame.
  - An exception is made for papers with five or more citations since publication, as these papers are deemed to be accruing citations quickly enough for reliable calculations. An RCR value will be calculated the following year, or when more citations are received. In these cases, the RCRs are deemed provisional and denoted in the literature record view or iCite results table. Due to the high future variability, a provisional RCR (for papers in the prior year) will not be shown where a paper has an RCR>1 based on a single citation. In addition, very dated articles (< 1950) may not have citation or translation metrics calculated. Learn more about RCR.

*This publication used R01-funded publications as a benchmark. The current RCR uses all NIH-funded publications as a benchmark.

iCite: Translation measures the extent to which a paper is Human, Animal, or Molecular/Cellular Biology oriented 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.
- Human, Animal, and Molecular/Cellular (HAMC) scores are available for all literature, therefore, the Translation visualizations are typically available for all results within your portfolio. These scores provide insight into the content for which the paper focuses on and the visualizations can demonstrate how your literature has evolved over time, particularly showing translation from bench (basic research) to bedside (clinical research). Read more about the Human, Animal, and Molecular/Cellular (HAMC) scores.
- Approximate Potential to Translate (APT) is a machine learning-based metric developed by OPA. As mentioned above, the score estimates the likelihood that the knowledge from the paper will be used and cited in later clinical articles. A higher APT score means the paper is more likely to be cited in future clinical articles. APT is not calculated for the vast majority of preprints in the iSearch Analytics system, however, if a preprint exists in PubMed, an APT score is calculated. The machine learning model uses several inputs to calculate the APT, including HAMC scores. Learn more about Approximate Potential to Translate (APT).

iCite: Citations (Open Citation Collection) disseminates link-level, public-domain citation data from the NIH Open Citation Collection (NIH-OCC). Read about the NIH-OCC at PLOS Biology.

To learn more about iCite and the metrics or visuals, visit the original iCite tool user guide: https://support.icite.nih.gov/hc/en-us

iCite: Influence screen with metrics and visualizations

iCite: Translation screen with metrics and visualizations

iCite: Citations (Open Citation Collection) screen with metrics and visualizations

At the bottom of the iCite visualizations, a data table is shown. Use the thick black line, which separates the visualizations and the table to expand the data table. In this table, you can also click on System IDs to go to the Record View of each article.

Analyze in iCite

Additionally, if you are in a Person Profile, you have the ability to analyze in iCite, which will allow you to see your publication statistics and more in the integrated iCite, within the Literature dataset of iSearch Analytics. Learn more about how to analyze in iCite.

Legacy Tool/User Guide

iCite is a stand alone, public tool (https://icite.od.nih.gov/), which has been utilized by organizations across the globe since 2015 (see more iCite Release Notes).

Visit the iCite user guide to learn more about data and visualizations in the tool.