background

Article-level Metric (ALM). 

  • The Problem

    Problem statement

    A leading publisher, with content spanning many disciplines, identified a need to offer their authors and readers additional article-level metrics (ALM) into how their work is being shared and discussed online.

    They wanted a straightforward solution from a reliable data source, easily integrated into their existing article pages.

    Company

    Rave Technologies is a provider of end to end IT solutions, with over two decades of experience spanning the entire gamut of IT services.

    Rave Technologies has helped over 260 businesses in building robust software products.

    Context

    Rave Technologies publishers to harness the power of technology to build bespoke publishing solutions.Some of the solutions Rave have implemented for their customers in the past include:

    • Content Solutions
    • Publishing Workflow Solutions
    • Subscription Management

  • Deep-Dive: Challenges

    Challenge 3

    Integration

    ALM offers a dynamic and real-time view of the latest activity. Researchers can stay up-to-date with their published work and share information about the impact of their publications with collaborators, funders, institutions, and the research community at large.  

    Challenge 1

    Daily updating metrics for each article

    • Viewed
    • Saved
    • Discussed
    • Recommended
    • Cited

    Challenge 2

    Too many Sources:

    • HighWire
    • PMC
    • Scopus
    • ISI web of science
    • Google Scholar
    • Europe PubMed Central
    • Mendeley
    • Facebook
    • Twitter
    • Research blogging
    • Wikipedia

  • Solution

    ALM offers a dynamic and real-time view of the latest activity. Researchers can stay up-to-date with their published work and share information about the impact of their publications with collaborators, funders, institutions, and the research community at large.  

    Solution

    ALM Application using Lagotto framework

  • Implementation
    Technology Stack :

    Ruby, Rails (RoR), MySql, Cron jobs, Sidekiq, Redis, Cancancan,Unicorn, NokoGiri gem,Nginx, Capistrano, Lagotto framework

    Platform :

    Heroku, AWS, Docker, Kubernetes

    TDD :

    RSpec,Cucumber 

    CI & Repository :

    Gitlab & CI

    • Lagotto - open source application by PLOS
    • Use of Lagotto framework as an independent application
    • Wrapper service is developed over lagotto framework to providefor customizations
    • Added new sources integration
    • Architecture for making lagotto production-ready
    • Using service consumer to display metric widget on an article page
    • Set-up Lagotto in the cluster to serve bigger loads
    • Notifications and alert mechanism in case of failures
    • Deployment on Amazon Web Service (AWS) platform
    • Research blogging
    • Wikipedia

  • Impact
    Image

    The integration of ALM data across Publisher content has generated a positive response from their key stakeholders. Publisher report that they are excited to see the overall performance their author's work is getting in near real-time, and editors are already starting to benefit and take note of which articles are getting the most traction.

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