What are Altmetrics? || Altmetrics for your Research Publications || Hindi || 2024

Altmetrics are positioned as a fast, social-and-societal way to measure research impact beyond traditional metrics like citation counts. Instead of waiting for scholarly citations to accumulate, altmetrics track attention signals—such as mentions, shares, discussions, and coverage across platforms—so researchers can see how their work is being picked up in real time. The practical payoff is clearer visibility for publications and profiles, with potential benefits for researchers, academic institutions, publishers, corporate R&D teams, and government funders.

The transcript frames altmetrics as “alternative metrics” that sit alongside established indicators (including h-index) and translate online activity into a score or badge-like visualization. A key example is the “donut”-style, color-coded badge shown on platforms like altmetric.com, where different colors represent different sources of attention. The underlying logic is straightforward: if a paper is discussed—through tweets, blog posts, news coverage, policy documents, or other online channels—then it generates measurable signals. The intensity and variety of these signals matter, because broader and more sustained attention typically corresponds to a higher altmetric score.

A major emphasis falls on how researchers can obtain and claim these altmetric badges for their own publications. The transcript describes a workflow built around linking profiles and ensuring publications are discoverable by the altmetrics system. It highlights that search has become easier after upgrades, and that researchers can track published work and the related social-media activity tied to it. It also notes that altmetric signals can change over time: posts may be shared, deleted, or discussed differently, which can shift the score and the color composition.

The transcript also connects altmetrics to institutional and professional use. Academic institutions can use altmetrics to demonstrate broader engagement, while funders and corporate R&D teams can look for evidence that research is reaching public, policy, or industry conversations. It further suggests that altmetrics can be added to a researcher’s CV/profile so others can quickly understand societal and online reach.

For researchers in India, the transcript points to Vidwan as an integrated platform. Once a Vidwan profile exists, publication data and identifiers (such as ORCID iD, Scopus iD, Web of Science, ResearcherID, and Google Scholar iD) are said to be pulled in, and altmetrics are generated without manual re-entry of publications. The message is that building a complete profile enables automated updates across connected systems.

Finally, the transcript encourages proactive engagement: researchers should share their work, participate in discussions, and ensure their contributions are clearly communicated so that attention signals accumulate. It also hints at the existence of “good” altmetric score thresholds (including very high historical examples) while stressing that the meaning of altmetrics depends on the sources and the ongoing conversation around the work.