Kudos (research-impact platform)

Kudos (marketed as GrowKudos, at growkudos.com) is a free, web-based platform that helps researchers explain their published work in plain language, enrich it with supporting context, and share it across social and professional networks — while tracking how those outreach actions relate to readership, downloads, and citation metrics over time. Founded in 2012 and based in London, Kudos sits alongside a researcher’s existing publication record rather than replacing it: every publication added to Kudos must already carry a DOI registered with Crossref, and authors typically link a ORCID iD to claim their output automatically.

Operational definition

A tool or workflow is functioning as “Kudos” in the sense this term covers when it lets an author or institution take a specific, Crossref-DOI-registered publication and (1) attach a plain-language explanation of what the work is and why it matters, (2) add enriching context such as links, video, data, or related outputs, and (3) distribute that package through built-in sharing tools to social media, email, and other discovery channels — with usage, download, and attention-metric data reported back to the author or institution afterward. Kudos does not itself register DOIs, host full text, or index the literature; it is an outreach and measurement layer that sits on top of publications already registered elsewhere.

How it works

Kudos organizes the researcher workflow around three steps it labels Explain, Enrich, and Share:

• Explain — the author writes a short, non-technical summary of the publication and why it is significant, aimed at readers outside the immediate specialist audience.
• Enrich — the author adds supporting material: links to underlying data, code, slides, video abstracts, related publications, or news coverage.
• Share — Kudos generates ready-to-use posts for social platforms and email, and can distribute the enriched publication record to partner discovery channels.

Two identifier-ecosystem integrations make this work without duplicate data entry. First, Kudos partnered with ORCID so that linking a Kudos account to an ORCID record lets the platform pull in an author’s existing publication list automatically, rather than requiring manual entry per article. Second, because every publication in Kudos is anchored to its DOI, the platform can combine its own view/download/share data with third-party signals — including the Altmetric Attention Score — into a single metrics dashboard, letting an author see communications activity and downstream attention side by side rather than in separate tools. On the publisher side, Kudos integrates with several manuscript-submission systems (including ScholarOne and Editorial Manager) so that plain-language summaries can be collected from authors during submission or acceptance and published automatically to a showcase page linked from the article itself. Institutions can also run Kudos accounts covering their own research output, using it to monitor outreach activity in aggregate rather than publication-by-publication.

Worked examples

• A researcher publishes a peer-reviewed article that receives a Crossref DOI. They link their ORCID iD to a Kudos account, which imports the new article automatically; they then write an Explain summary aimed at practitioners in an adjacent field, add an Enrich link to the underlying dataset, and use Share to post to LinkedIn and X. Over the following weeks they check the Kudos metrics dashboard to see page views, full-text downloads on the publisher’s site, and the article’s Altmetric Attention Score.
• A society publisher integrates Kudos into its Editorial Manager submission workflow. When a manuscript is accepted, the corresponding author is prompted, inside the normal submission system, to write a plain-language summary. That summary is published automatically to a Kudos showcase page linked from the article’s landing page on the journal site, with no separate Kudos login required from the author.

Counter-examples

• A manuscript deposited to a subject repository ahead of peer review is a preprint, not a Kudos record — Kudos operates on already-registered, DOI-bearing publications and does not host full text or serve as a repository itself.
• The Altmetric Attention Score shown on a Kudos dashboard is not calculated by Kudos — it is pulled in from Altmetric‘s own tracking of mentions across news, social media, and policy documents; Kudos is a distribution and reporting layer for that data, not an independent altmetrics aggregator.

Why it matters for research offices

For research administrators and communications teams, Kudos is relevant less as a metrics source in its own right and more as a documented layer between research impact activity and outcome data: it records what outreach actions were taken (which summary was written, which channels were used) alongside what happened afterward (views, downloads, attention, citations), which is the kind of paired activity-and-outcome evidence that is otherwise hard to reconstruct after the fact. A 2017 peer-reviewed study published in PLOS ONE, analyzing outreach actions logged in Kudos against publisher-reported download data, found that publications with Kudos outreach actions were associated with meaningfully higher download growth than comparable publications without them — an association, not a controlled-trial result, but one of the few published analyses linking specific researcher outreach behavior to a measurable readership outcome. Institutions increasingly use Kudos account data, alongside CRIS/repository publication lists, as one input into broader research-impact and public-engagement reporting, distinct from citation-based bibliometrics.

Related CASRAI resources

See also ORCID iD, DOI, Altmetric Attention Score, Altmetrics, Research impact, Plain Language Summary (PLS), Plain-Language Summaries for Research Papers: A Writing Guide, and the Persistent Identifiers & Research Information Systems pillar.