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| Altmetrit ja artikkelitason mittarit× | Lainausanalyysi× | |
|---|---|---|
| Tieteenala | Tutkimustaidot | Tutkimustaidot |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 2010 (concept manifesto); 2011 (Altmetric.com platform launch) | 1955 (citation indexes); 1975 (Impact Factor); 2005 (H-index) |
| Kehittäjä≠ | Jason Priem and the altmetrics community (2010) | Eugene Garfield (Citation Indexes, 1955); Jorge Hirsch (H-index, 2005) |
| Tyyppi | Tool | Tool |
| Alkuperäislähde≠ | Priem, J., Taraborelli, D., Groth, P., & Neylon, C. (2010). Altmetrics: A manifesto. http://altmetrics.org/manifesto/ link ↗ | Hirsch, J. E. (2005). An index to quantify an individual's scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572. DOI ↗ |
| Rinnakkaisnimet | altmetrics, article-level metrics, alternative impact metrics | citation metrics, bibliometric analysis, citation tracking |
| Liittyvät | 4 | 4 |
| Tiivistelmä≠ | Altmetrics (alternative metrics) measure the online attention and societal impact of research by tracking mentions in social media (Twitter), news outlets, policy documents, blogs, videos, and other online sources. Introduced formally in 2010 by Jason Priem and colleagues, altmetrics address limitations of citation-based assessment: citation counts accumulate slowly (taking years for impact to register), do not capture policy influence, and are biased toward certain fields (biomedicine receives more citations than social sciences). Altmetric.com, PlumX, and other platforms now provide real-time data on research reach, complementing traditional journal impact factors and H-indices. While altmetrics should not replace peer-reviewed citations for tenure and promotion, they offer valuable insight into public engagement with research. | Citation analysis is the systematic study of how scholarly works are cited by subsequent research, used as a proxy for research impact and influence. Founded formally by Eugene Garfield in 1955 (introducing citation indexes), the field encompasses metrics ranging from simple citation counts to sophisticated indices like the H-index (Hirsch, 2005) and field-normalized indicators. Citation analysis is used to evaluate researcher productivity, track influence of ideas, assess journal quality, and detect research trends. While citation counts are not perfect measures of quality (high citation does not equal high quality; time lag in citation accumulation), they provide valuable quantitative data for research evaluation alongside peer review and expert assessment. |
| ScholarGateAineisto ↗ |
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