Evidence map›Paper›PMID 29637199›Full record

ArticleThe semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference2017

BiOnIC: A Catalog of User Interactions with Biomedical Ontologies.

Maulik R Kamdar, Simon Walk, Tania Tudorache, Mark A Musen

Abstract read
In one paragraph

Article in The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Maulik R KamdarStanford Center for Biomedical Informatics Research, Stanford University.
Simon WalkStanford Center for Biomedical Informatics Research, Stanford University.
Tania TudoracheStanford Center for Biomedical Informatics Research, Stanford University.
Mark A MusenStanford Center for Biomedical Informatics Research, Stanford University.

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
Collaborative Development of Biomedical Ontologies and TerminologiesR01GM086587 · NIGMS · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2009 to 2016
$4.1M
NHGRI NIH HHS U54 HG004028NIGMS NIH HHS R01 GM086587
6 · The paper itself

Abstract

BiOnIC is a catalog of aggregated statistics of user clicks, queries, and reuse counts for access to over 200 biomedical ontologies. BiOnIC also provides anonymized sequences of classes accessed by users over a period of four years. To generate the statistics, we processed the access logs of BioPortal, a large open biomedical ontology repository. We publish the BiOnIC data using DCAT and SKOS metadata standards. The BiOnIC catalog has a wide range of applicability, which we demonstrate through its use in three different types of applications. To our knowledge, this type of interaction data stemming from a real-world, large-scale application has not been published before. We expect that the catalog will become an important resource for researchers and developers in the Semantic Web community by providing novel insights into how ontologies are explored, queried and reused. The BiOnIC catalog may ultimately assist in the more informed development of intelligent user interfaces for semantic resources through interface customization, prediction of user browsing and querying behavior, and ontology summarization. The BiOnIC catalog is available at: http://onto-apps.stanford.edu/bionic.

Indexed as

log analysisontology explorationreuseuser behavior

Identifiers

PMID29637199
PMCPMC5889949

What OpenQuestion holds

Textmetadata
LicenceTDM
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.