In our sample of clinical and translational research, we found a stronger correlation between the AAS and citations than did a recent metaanalysis examining this relationship across many fields. Future research should examine the roles of different kinds of altmetric data sources and whether these relationships hold in other portfolio samples. Share your data and reuse the data of others to create the highest impact in the research community. Past research has found weak associations between altmetrics and academic citations. An official website of the United States government. My colleagues within the NIH Office of Portfolio Analysis sought to answer this call. Citation analysis has largely been the province of scholars in the specialties of bibliometrics, scientometrics, and innovation and policy studies, who typically carry out extensive, time-consuming analysis of proprietary citation data licensed by commercial data providers. For the past several years, the National Institutes of Health (NIH) Office of Portfolio Analysis (OPA) has been aggregating and enhancing citation data that can be shared publicly. (2019) The NIH Open Citation Collection: A public access, broad coverage resource. Thank you for developing and sharing this resource. In addition to accumulating citations, the OCC will National Library of Medicine In a call for open citation data from the scientometrics community [17,18], signatories noted the capacity of open data to improve transparency and reproducibility of analyses. 11 Also, Hutchins et al. The NIH public access policy did not harm biomedical journals. . Our findings indicate that when clinical and translational research is publicly shared and discussed upon publication it is more likely to achieve greater academic citation influence. Epub 2004 Dec 21. USA. While developing new science-of-science methodologies [10,11], the NIH Office of Portfolio Analysis (OPA) has carefully pursued unencumbered citation data resources that can be shared publicly. (2 min. More recent publication year was associated with higher AAS and lower RCR and total citations; it was not associated with JIFs. National vital statistics reports; vol 59 no 1. Pratt LA, Brody DJ, Gu Q. Antidepressant use in persons aged 12 and over: United States, 20052008. In other words, the reference lists of the two articles overlap, and the larger the number of shared references, the greater the degree of bibliographical coupling. progress of biomedical technology. 10.1126/science.aao0185 The most common sources for altmetric references were Twitter posts and news stories. Analytics feedback form; Comments 0 comments. 2018;359(6379). The top ten PubMed Similar Articles set shares two articles with the top ten co-cited set and none with the top ten bibliographically coupled set (not shown). Citation data can be visualized and downloaded through the iCite website [9]; the data can also be accessed via machine-readable Application Programming Interface (API) or bulk downloads. Data can be accessed through the iCite web interface (https://icite.od.nih.gov/; Fig 2), the iCite API (https://icite.od.nih.gov/api), or through bulk downloads (DOI: 10.35092/yhjc.c.4586573). Conversely, for the Bibliographically Coupled box, this means that each displayed bibliographically coupled article cited at least two references within the Cited box. Example: Media communication is vast, everevolving, and sometimes ephemeral. If a given article of interest has just been published or has not been cited by another article, there are no citations or co-citations to analyze, yet one may still identify related articles using the PubMed Similar Articles function and the set of bibliographically coupled articles. Data From the National Health Examination Survey, the National Health and Nutrition Examination Surveys, and the Hispanic Health and Nutrition Examination Survey, Series 12. You can also see information related to the article, such as links to the citing and referenced papers on PubMed, on the bottom of the screen. [published online ahead of print August 25, 2021]. We are pleased to see these promising results. An article's citations are useful for finding related articles that may not be readily found by keyword searches or textual similarity. how we could make it even better. Example: Required fields are marked *. Relative Citation Ratio (RCR): A New Metric That Uses Citation Rates to Measure Influence at the Article Level. National health statistics reports; no 42. lines, shed some light on the development of scientific thought and on the Authors name, last name first and initials. Although references from the machine learning pipeline represent a small fraction of the total at present, we expect this to increase over time as new papers are identified and processed. Search the Last Name and Initials, with no comma separating them. Accessibility FOIA It will be exciting to see how the research community Specific components of the AAS reflected in this dataset include references to publications in: news articles, blog posts, Twitter posts, Wikipedia pages, patent applications, government and NGO policy documents, Faculty Opinions (formerly F1000 Prime) peer faculty recommendations, public Facebook posts, and legacy Google+ posts. Name of report. The minimum threshold for display can be varied by the user in order to focus on the articles having the most similarity to the article of interest while minimizing the size of the list of articles displayed within the box. The hyperlinked word Citations is displayed to the right of the article. CDC twenty four seven. The study sponsor had no role in study design; in the collection, analysis, and interpretation of the data; in the writing of the report; or in the decision to submit the paper for publication. This citation database is not a static snapshot butas a part of our bibliometrics web service, iCite [9]will be updated monthly. Is there a topic you'd like to see us address in the Extramural Nexus? This site needs JavaScript to work properly. (2:00 min), Exported from Citation Report to an Excel spreadsheet where you may create charts and graphs. https://elifesciences.org/inside-elife/45f0e7ed/setting-your-cites-on-open, https://blogs.plos.org/biologue/2017/04/07/setting-your-cites-on-open/, Z99 OD999999/ImNIH/Intramural NIH HHS/United States. Learn the basics of Web of Science's powerful citation search capabilities. Traditional metrics examine publication impact through slowly accumulating academic citations. This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. Name of report. CDC National Center for Health Statistics Homepage. . You can access, visualize, and bulk download OCC data as part of the NIH's webtool called iCite (Figure 1). Using stateoftheart bibliometric tools, we were able to evaluate both the nearterm splashes of public attention and longterm ripples of academic influence of clinical and translational science publications supported by the Georgia CTSA. To filter out any remaining false positives, use PMC data as gold standards to train a Random Forest on the feedback received from the Citation Resolution Service. Recently, iCite, an extensive set of open citations in the biomedical literature, was publicly released [5] with a monthly updated dataset (https://icite.od.nih.gov/). doi:10.1371/journal.pbio.3000385. The tool can be accessed by running any PubMed query on the Anne O'Tate value-added search interface and clicking on the Citations button next to any retrieved article. This dataset, which has been carefully generated from unrestricted data sources such as MedLine, PubMed Central (PMC), and CrossRef, now underlies the citation statistics delivered in the NIH iCite analytic platform. Data Availability: Data can be retrieved from the iCite web service at https://icite.od.nih.gov, through the iCite API at https://icite.od.nih.gov/api, or in bulk downloads from https://doi.org/10.35092/yhjc.c.4586573. However, even these do sometimes manifest soon after an important article is published, and they are rarer and less strongly weighted than media sources and are therefore less likely to drive AAS scores. e3000385. Year publication printed. You can access, visualize, and bulk download OCC data as part of the NIHs webtool called iCite (Figure 1). These metrics are based solely on articles in the journals indexed by Web of Science and do not include citations to books, chapters, patents, etc. N.L. titled Enoxacin elevates microRNA levels in rat frontal cortex and prevents learned helplessness [10] brings together studies of enoxacin as a regulator of microRNA production and studies of microRNA changes during animal models of depression and stress (Figure 4). These open access articles were identified either through explicit journal policies or through third-party aggregators such as Unpaywall [16]. The iCite dataset is updated monthly, and these new citations are automatically added to the Citation Cloud dataset. National Center for Health Statistics. Another limitation is that the citation cloud surrounding a single article can be quite large, especially for review articles or citation classics. Ian 4 Fewer Than One in 20 Current Academic Orthopaedic Surgeons Have Obtained National Institutes of Health Funding. Data from these The Articles Co-Cited box consists of all articles that are cited by one or more papers in the Articles Citing this Article box. The CTSA Program at NIH: Opportunities for Advancing Clinical and Translational Research. 7 2023 Apr 28;10(1):243. doi: 10.1038/s41597-023-02134-x. Ian Hutchins and George Santangelo embarked on a hefty bibliometric endeavor over the past several years to curate biomedical citation data. Our prototype machine learning pipeline currently re-trains for each data source. Year publication printed. eCollection 2016 Sep. J Dermatol Sci. and articles on COVID19 specific to the PubMed database. Example: The use of trade names is for identification only and does not imply endorsement by the Public Health Service, U.S. Department of Health and Human Services. I am quite sure something very similar would be happening to those working in the interface of biology and physics or information sciences. With the release of this NIH-OCC for biomedicine at large, the subsequent work that draws upon NIH-supported discoveries is now visible as well, and barriers to entry for scientometric studies will be reduced.