Evidence map›Paper›PMID 24627804›Full record

ArticleF1000Research2014

BioJS DAGViewer: A reusable JavaScript component for displaying directed graphs.

Alexis Kalderimis, Radek Stepan, Julie Sullivan, Rachel Lyne, Michael Lyne, Gos Micklem

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Alexis KalderimisDepartment of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK.
Radek StepanDepartment of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK.
Julie SullivanDepartment of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK.
Rachel LyneDepartment of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK.
Michael LyneDepartment of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK.
Gos MicklemDepartment of Genetics and Cambridge Systems Biology Centre, Cambridge University, Cambridge, CB2 3EH, UK.

Funding

InterMOD: integrated data and tools to support model organism researchR01HG004834 · NHGRI · UNIVERSITY OF CAMBRIDGE · PI CHERRY, J. MICHAEL, MICKLEM, GOS · 2009 to 2013
$2.8M
NHGRI NIH HHS R01 HG004834Wellcome Trust
6 · The paper itself

Abstract

summaryThe DAGViewer BioJS component is a reusable JavaScript component made available as part of the BioJS project and intended to be used to display graphs of structured data, with a particular emphasis on Directed Acyclic Graphs (DAGs). It enables users to embed representations of graphs of data, such as ontologies or phylogenetic trees, in hyper-text documents (HTML). This component is generic, since it is capable (given the appropriate configuration) of displaying any kind of data that is organised as a graph. The features of this component which are useful for examining and filtering large and complex graphs are described. AVAILABILITY: http://github.com/alexkalderimis/dag-viewer-biojs; http://github.com/biojs/biojs; http://dx.doi.org/10.5281/zenodo.8303.

Identifiers

PMID24627804
PMCPMC3945768

What OpenQuestion 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 OpenQuestion graph.