ArticleJournal of biomedical discovery and collaboration2010
MLTrends: Graphing MEDLINE term usage over time.
Article in Journal of biomedical discovery and collaboration, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- A simplified microwave-based motion detector for home cage activity monitoring in mice.Journal of biological engineering · 2017Article
- Quo vadis computational analysis of PPI data or why the future isn't here yet.Frontiers in genetics · 2015Article
- SEACOIN--an investigative tool for biomedical informatics researchers.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The MEDLINE database of medical literature is routinely used by researchers and doctors to find articles pertaining to their area of interest. Insight into historical changes in research areas may be gained by chronological analysis of the 18 million records currently in the database, however such analysis is generally complex and time consuming. The authors' MLTrends web application graphs term usage in MEDLINE over time, allowing the determination of emergence dates for biomedical terms and historical variations in term usage intensity. MLTrends may be used at: http://www.ogic.ca/mltrends.
Identifiers
20333611PMC2990277What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.