Install any skill in seconds. Free to start, no credit card required.
Get Started Free →brycewang-stanford/altmetrics-guide
Guide to altmetrics and research impact beyond traditional citations
Passed 23 of 23 test cases with the skill, and 22 of 23 without it.
1 fixed22 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
A test case the skill fixed. Same model, same prompt, with and without the skill.
An author asks how to handle peer reviewer comments requesting major revisions on a randomized controlled trial manuscript prior to journal publication. What steps should the author take to write a formal response to reviewers?
| Checked | Without skill | With skill |
|---|---|---|
| advises addressing each reviewer comment point-by-point in a response letter | Passed | Passed |
| recommends highlighting modified text in the revised manuscript | Missed | Passed |
The instructions your model reads when the skill loads.
Understand and use alternative metrics (altmetrics) to measure the broader impact and reach of research outputs beyond traditional citation counts.
Altmetrics capture the online attention and engagement that research receives across diverse platforms. Unlike citation-based metrics (which can take years to accumulate), altmetrics provide near-real-time signals of how research is being discussed, shared, and used.
| Source Category | Examples | What It Measures |
|---|---|---|
| Social media | Twitter/X, Facebook, Reddit, Weibo | Public discussion and sharing |
| News & blogs | Mainstream media, science blogs | Media coverage and science communication |
| Policy documents | Government reports, clinical guidelines | Policy relevance |
| Reference managers | Mendeley, Zotero readership | Academic readership and interest |
| Wikipedia | Article citations | Educational and encyclopedic use |
| Peer review | Publons, post-publication review | Formal and informal peer evaluation |
| Patents | Patent citations | Commercial and industrial relevance |
The Altmetric Attention Score is a weighted composite of online mentions:
| Source | Weight | Rationale |
|---|---|---|
| News outlets | 8 | Editorial curation, wide audience |
| Blog posts | 5 | Expert commentary |
| Wikipedia | 3 | Encyclopedic significance |
| Policy documents | 3 | Real-world impact |
| Twitter/X posts | 1 | Broad sharing but low barrier |
| Facebook posts | 0.25 | General public engagement |
| Reddit posts | 0.25 | Community discussion |
| Mendeley readers | 0 (separate) | Tracked but not in score |
PlumX organizes metrics into five categories:
test cases passed, vs 22 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.