Welcome to the Research Library's Impact guide! Here you'll find information on traditional and alternative metrics for measuring research impact at the article, author and journal levels.
If you have questions or need help, email us at email@example.com.
ORCID is a persistent digital identifier that distinguishes you from other researchers.
It is integrated with key research workflows such as grant submission and automatically links you to your professional activities and scholarly publications.
Why use ORCID?
Visit ORCID @ LANL to create an account and quickly link your LANL publications to your profile.
Calculate Your H-Index
|Compiles an author's H-Index in Google Scholar Citations|
|Web of Science||Search by author, then click Create Citation Report|
|Scopus||Scopus displays the H-Index in its H-Graph. Run an author search, select the author's profile, then click View H-Graph.|
Use Web of Science for Individual Journal Metrics and Subject Metrics
On the InCites Journal Citations Report page, type in your journal title.
For each year, the journal profile page will show metrics including:
Clicking on the Rank tab under the metrics will show the journal's impact factor ranking in its subject area by year and quartile.
To generate a list of journal rankings by subject area, head to the Journal Citations Report page and click Select Categories. Pick your subjects, then click Submit at the bottom of the page.
Google Scholar also ranks publications by five year H-Index and H-Median metrics. You can browse its lists here.
Track Cited and Citing References
Google Scholar's results page includes a "Cited by" link. It lists the references to that work in Google Scholar.
Scopus' includes citation counts and can sort search results by times cited.
Click on a search result to get a list of citing articles.
|Web of Science||
Search results in Web of Science include citation counts. Clicking on a a search result takes you to a page with citing and cited references.
Web of Science also allows for sorting search results by citation count.
Altmetrics (alternative metrics) have emerged in the past few years as a collective term for different ways to measure research impact.
They can be a useful complement to traditional metrics in giving a fuller picture of research impact.
The biggest differences with almetrics is in what publications are analyzed and what attention is evaluated.
Instead of just looking at journal articles, altmetrics acknowledge new forms of scholarly communication and publishing, including data sets, blog posts, presentations, and code.
Altmetrics also incorporate attention from social media and online news sources, enabling researchers to capture the immediate and short-term impact of their work.
The circles below show different kinds of interactions that can be measured though altmetrics.
In March 2016, the LANL Research Library incorporated Altmetric badges into Los Alamos Authors and the Los Alamos Public Repository.
For every submission that’s received online mentions, you’ll see the Altmetric donut.
The donut provides a quick way to visualize the impact a publication has received through social media, online news sources, and scholarly networking sites.
The donut has two features: the score and the colors.
The colors represent coverage from social media, traditional media and online reference managers. A more colorful donut has attention from more sources than a less colorful donut.
The number inside the donut is Altmetric’s score of attention. It’s a quantitative measure of the quality and quantity of attention that the publication has received based on Altmetric’s algorithm.
Contact your librarians for more information!
Traditional and alternative metrics can be an excellent way to measure research output and impact but there are things to keep in mind.
Check out this reading list from the John Jay College of Criminal Justice's Lloyd Sealy Library for more context and discussion about the strengths and weaknesses of bibliometrics.
Your librarians are happy to help you with these tools and resources that measure your research impact!
Altmetrics: Alternatives to traditional metrics like the impact factor, H-Index and citation counts. Some examples include number of tweets, facebook likes, and number of PDF downloads. The term Altmetric was coined by Jason Priem in his Altmetrics Manifesto. Priem and his colleagues define Altmetrics as “the creation and study of new metrics based on the Social Web for analyzing, and informing scholarship.”
Not to be confused with Altmetric, the company.
Article-level metrics: Article-level metrics examine the impact of individual articles. Some article-level indicators are usage, citations, social bookmarking, media coverage, and discussion activity.
Article-level metrics were popularized by the Public Library of Science (PLoS), which includes article-level metrics for all of its articles.
Author metrics: Instead of measuring the impact of journals or articles, author metrics examine impact in terms of authors. The H-Index and the Eigenfactor Score are examples of author-level metrics.
Web of Science, Google Scholar, and Scopus have ways to explore author-level metrics. Ask your librarians for more information!
Citation analysis: An examination of the impact and quality of an article, journal or author based on citation counts. The Journal Impact Factor, H-Index, and article-level metrics are all ways to analyze citations.
Cited reference: A citation, or a reference to a work, its author, and the document in which it was published. Cited reference searching is a great way to trace the development of research in a given subject area.
Eigenfactor score: A journal-level metric that ranks the importance of a journal by the number of citations it receives from other journals. It gives more weight to citations from influential journals, so journals with higher Eigenfactor scores have a higher impact on their fields. Eigenfactor.org has more information about this metric. This metric was created by Jevin West and Carl Bergstrom at the University of Washington.
Related to the Eigenfactor score is the Article Influence score. It determines the influence of a journal’s articles in the first five years of publication. You can find Eigenfactor scores and Article Influence scores in the Thomson Reuters Journal Citation Reports.
H-Index: An author-level metric based on a researcher’s most cited articles and the number of citations each article has received. It measures quantity and quality of an author’s work. The index is named after Jorge Hirsch, a physicist at UCSD.
An author’s H-Index of h means they have published h papers, and each has been cited by others at least h times.
Google Scholar, Web of Science and Scopus can calculate an H-Index based on each database's own content. Your research librarians can help calculate your H-Index!
Journal Impact Factor: A journal-level metric generated by the ISI Web of Knowledge database and published yearly in Thomson Reuters’ Journal Citation Reports. It measures the average number of citations received per paper published in a journal in the two previous years.
Impact factors need some context, so for the number to be meaningful it’s best to compare impact factors within disciplines to see which journals are more impactful.
Impact factors aren’t without their issues. See the Caveats tab for more information.
ORCID: ORCID (Open Researcher and Contributor ID) is a persistent digital identifier that distinguishes you from other researchers. It is integrated with key research workflows such as grant submission and automatically links you to your professional activities and scholarly publications.
Your librarians can help you register for an ORCID identifier and add works to your profile. See the ORCID box on this page for more information.