ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009
Finding query suggestions for PubMed.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- SPI-Hub™: a gateway to scholarly publishing information.Journal of the Medical Library Association : JMLA · 2020Article
- How user intelligence is improving PubMed.Nature biotechnology · 2018Article
- Towards PubMed 2.0.eLife · 2017Article
- GEE: An Informatics Tool for Gene Expression Data Explore.Healthcare informatics research · 2016Article
- Discovering biomedical semantic relations in PubMed queries for information retrieval and database curation.Database : the journal of biological databases and curation · 2016Article
- Analysis of PubMed User Sessions Using a Full-Day PubMed Query Log: A Comparison of Experienced and Nonexperienced PubMed Users.JMIR medical informatics · 2015Article
- Accessing biomedical literature in the current information landscape.Methods in molecular biology (Clifton, N.J.) · 2014Review
- A study on PubMed search tag usage pattern: association rule mining of a full-day PubMed query log.BMC medical informatics and decision making · 2013Article
- Predicting clicks of PubMed articles.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Developing topic-specific search filters for PubMed with click-through data.Methods of information in medicine · 2013Article
- SEACOIN--an investigative tool for biomedical informatics researchers.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- PubMed and beyond: a survey of web tools for searching biomedical literature.Database : the journal of biological databases and curation · 2011Review
- Understanding PubMed user search behavior through log analysis.Database : the journal of biological databases and curation · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
It is common for PubMed users to repeatedly modify their queries (search terms) before retrieving documents relevant to their information needs. To assist users in reformulating their queries, we report the implementation and usage analysis of a new component in PubMed called Related Queries, which automatically produces query suggestions in response to the original user's input. The proposed method is based on query log analysis and focuses on finding popular queries that contain the initial user search term with a goal of helping users describe their information needs in a more precise manner. This work has been integrated into PubMed since January 2009. Automatic assessment using clickthrough data show that each day, the new feature is used consistently between 6% and 10% of the time when it is shown, suggesting that it has quickly become a popular new feature in PubMed.
Indexed as
Identifiers
20351887PMC2815412What 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.