Webometric Analyst

Basic information

  • URL: http://lexiurl.wlv.ac.uk/
  • Cost: Varies: includes both free and fee-based versions with different features.
  • Open source: No

How to use this tool for use/reuse assessment

Webometric Analyst is a free Windows-based program for analysis of altmetrics, citations, social media analysis, and webometrics, including link analysis. Practitioners can find where their digital objects and digital collections are being linked to, or run reports for text strings such as repository name, digital object name, or collection name. Reports come in the form of lists that can be saved as text files or spreadsheets. Webometric Analysts can also generate network diagrams of the links between a collection of web sites. Links to digital objects and collections may imply use/reuse, but sources will need to be manually inspected to determine the function of the use/reuse.

Ethical guidelines

Practitioners should follow the practices laid out in the “Ethical considerations and guidelines for the assessment of use and reuse of digital content.” The Guidelines are meant both to inform practitioners in their decision-making, and to model for users what they can expect from those who steward digital collections.

Additional guidelines for responsible practice

The Webometric Analyst software was created by and is freely available from the University of Wolverhampton (UK). However, some searches require the purchase of and access to a Microsoft Cognitive Services Bing Web Search V7 Key which may be rendered through a free Microsoft email account. According to Microsoft, they collect a wide range of user data based on direct user input, third-party sources, and through automated technologies such as cookies and “web beacons.” This data includes a) personally identifiable data about users such as name, email address, postal address, phone number, social media handle, usernames and passwords, password hints and similar security information, demographic data and payment data, b) device and usage data, including browse history, IP address, and device configuration, and c) content, including all communications (audio, video, text), video or recordings, feedback and ratings, and traffic data.


  • Webometric was created by the Statistical Cybermetrics Research Group (University of Wolverhampton) which specializes in analyzing data on a large scale pulled from the web.

  • Provides a relatively simple user interface for gathering metrics that would otherwise require technical knowledge of APIs.

  • Collects metrics from a wide variety of sources including some aggregators, like Altmetric, Mendeley, Google Books, and WorldCat

  • Offers the ability to perform assessment like network analysis that goes beyond numerical indicators to offer greater context for impact.


  • Only available for Windows users.

  • Tracking links to item records for digital library content with a high degree of accuracy requires setting individual search queries for items based on library or collection names or URL strings; this level of manual setup may be difficult for digital libraries with limited resources. High-level search queries, for example a domain name or digital library name, may make assessment more scalable, though less precise.

  • While Webometric Analyst is free, it relies on APIs from Bing and Dimensions Analytics, which require a subscription/fees. If a user runs more than 20 searches, a credit card and payment is required. 

  • Each user is limited to 5,000 queries per month and must sign up to get these. Since each query uses up to 20 separate searches, one per page of results, this may limit the monthly number of queries to as few as 250.

  • The interface is not immediately user-friendly and relies heavily on extensive user experience with computers and/or cybermetrics.

  • To avoid rate limiting, a basic Altmetric Details Page API key is required. For users interested in using Altmetric data for assessment, an Altmetric Explorer subscription may be required.

  • Documentation on the website is often outdated and the last reported official update occurred in 2019.

  • Requires a secondary program, Mozdeh, to gather Twitter data for analysis.

  • Many of the Webometric Analyst features are for Microsoft Windows only with minimal workarounds or support for Mac or Linux programs. It uses URL citations rather than hyperlinks for link searching and analysis; so, if a web page hyperlinks text to a digital object but does not include the URL of the digital object fully spelled out, that will not be included in results.

  • Does not measure links between webpages unless the URL of the digital object is spelled out in the page’s text.

  • If a URL citation changes over time, the practitioner must complete separate queries in Webometric Analyst to do a comprehensive search.

  • Does not appear to offer user support.

Real world examples

Case Study: Using link analysis to evaluate the impact of digital collection content
Eccles, Thelwall, and Meyer developed a case study to determine if link analysis using Webometric Analyst would allow practitioners to measure the impact of a digital resource. The researchers started with the assumption that placing web links for digital collections on external pages denoted intellectual impact, since links “indicate awareness and uptake.” Querying the root URL pages for specified digital collections, including the British Library Archival Sound Recordings and the UK Data Archive, the researchers compiled links to external websites that include the quiered URL. They also compiled results for a set of “competitor”  websites to make a comparison possible. They found that this method was best suited for digital collection websites that have stable URLs that have not changed over time. They also found that this approach was able to identify a variety of external websites that referenced some of the queried pages, which catered to a variety of audiences (including scholars, bloggers, and genealogists).

Eccles, K. E., Thelwall, M., & Meyer, E. T. (2012). Measuring the web impact of digitised scholarly resourcesJournal of Documentation68(4), 512-526. 

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