Evidence map›Paper›PMID 27955708›Full record

ArticleJournal of biomedical semantics2016

Thematic issue of the Second combined Bio-ontologies and Phenotypes Workshop.

Karin Verspoor, Anika Oellrich, Nigel Collier, Tudor Groza, Philippe Rocca-Serra, Larisa Soldatova, Michel Dumontier, Nigam Shah

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical semantics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 7 institutions in 3 countries.

Karin VerspoorDepartment of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia. karin.verspoor@unimelb.edu.au.ORCID 0000-0002-8661-1544
Anika OellrichMRC Social, Genetic & Developmental Psychiatry Centre (SGDP), King's College London, London, SE5 8AF, UK.
Nigel CollierThe Language Technology Lab, Department of Theoretical and Applied Linguistics, University of Cambridge, Cambridge, UK.
Tudor GrozaCentre for Clinical Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia.
Philippe Rocca-SerraUniversity of Oxford e-Research Centre, 7 Keble Road, OX1 3QG, Oxford, UK.
Larisa SoldatovaBrunel University London, London, UK.
Michel DumontierStanford University, Stanford, CA, USA.
Nigam ShahStanford University, Stanford, CA, USA.
Stanford University · USBrunel University of London · GBGarvan Institute of Medical Research · AUKing's College London · GBThe University of Melbourne · AUUniversity of Cambridge · GBUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This special issue covers selected papers from the 18th Bio-Ontologies Special Interest Group meeting and Phenotype Day, which took place at the Intelligent Systems for Molecular Biology (ISMB) conference in Dublin in 2015. The papers presented in this collection range from descriptions of software tools supporting ontology development and annotation of objects with ontology terms, to applications of text mining for structured relation extraction involving diseases and phenotypes, to detailed proposals for new ontologies and mapping of existing ontologies. Together, the papers consider a range of representational issues in bio-ontology development, and demonstrate the applicability of bio-ontologies to support biological and clinical knowledge-based decision making and analysis.The full set of papers in the Thematic Issue is available at http://www.biomedcentral.com/collections/sig .

Indexed as

Biological OntologiesPhenotype

Identifiers

PMID27955708
PMCPMC5154111
OpenAlexW2566649370

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.