Evidence map›Paper›PMID 20351918›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009

LigerCat: using "MeSH Clouds" from journal, article, or gene citations to facilitate the identification of relevant biomedical literature.

Indra Neil Sarkar, Ryan Schenk, Holly Miller, Catherine N Norton

Abstract read
In one paragraph

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Wormicloud: a new text summarization tool based on word clouds to explore the C. elegans literature.Database : the journal of biological databases and curation · 2021
    Article
  3. Article
  4. Rapid and Reusable Text Visualization and Exploration Development with DELVE.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017
    Article
  5. Article
  6. Article
  7. PubMedMiner: Mining and Visualizing MeSH-based Associations in PubMed.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014
    Article
  8. Review
  9. Studying PubMed usages in the field for complex problem solving: Implications for tool design.Journal of the American Society for Information Science and Technology : JASIST · 2013
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A vector space model approach to identify genetically related diseases.Journal of the American Medical Informatics Association : JAMIA
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Indra Neil SarkarCenter for Clinical and Translational Science, University of Vermont, Burlington, VT, USA.
Ryan Schenk
Holly Miller
Catherine N Norton

Funding

Enhancing Organism Based Disease Knowledge Via Name Based Taxonomic IntelligenceR01LM009725 · NLM · MARINE BIOLOGICAL LABORATORY · PI SARKAR, INDRA N · 2008 to 2010
$1.1M
NLM NIH HHS R01 LM009725NLM NIH HHS R01LM009725-01A1
6 · The paper itself

Abstract

The identification of relevant literature from within large collections is often a challenging endeavor. In the context of indexed resources, such as MEDLINE, it has been shown that keywords from a controlled vocabulary (e.g., MeSH) can be used in combination to retrieve relevant search results. One effective strategy for identifying potential search terms is to examine a collection of documents for frequently occurring terms. In this way, "Tag clouds" are a popular mechanism for ascertaining terms associated with a collection of documents. Here, we present the Literature and Genomic Electronic Resource Catalogue (LigerCat) system for exploring biomedical literature through the selection of terms within a "MeSH cloud" that is generated based on an initial query using journal, article, or gene data. The resultant interface is encapsulated within a Web interface: http://ligercat.ubio.org. The system is also available for installation under an MIT license.

Indexed as

Catalogs as TopicMedical Subject HeadingsMEDLINEBiomedical ResearchGenesInformation Storage and RetrievalMolecular Sequence DataPeriodicals as Topic

Identifiers

PMID20351918
PMCPMC2815376

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.