Evidence map›Paper›PMID 24101873›Full record

ArticleInternational journal of nanomedicine2013

Nanoinformatics for biomedicine: emerging approaches and applications.

Xiong Liu, Thomas J Webster

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2013. 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
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.

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

2 authors.

Xiong LiuIntelligent Automation, Inc, Rockville, MD, USA.
Thomas J Webster

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This special issue on nanoinformatics for biomedicine is a collection of recent papers from the 2012 IEEE Workshop on Nanoinformatics for Biomedicine (NanoInfo 2012) and other work in the area. These papers illustrate different aspects of nanoinformatics to support biomedical research and to advance knowledge on nanomaterial-biological interactions. The topics covered include data curation, data standards, data mining and predictive modeling, machine learning, and translational research. The objectives of this special issue are multifold: (1) to bring together and showcase some of the latest research results in the field; (2) to introduce some useful repositories, systems, and analysis tools; and (3) to stimulate more research activities in the field.

Indexed as

Biomedical ResearchComputational BiologyNanomedicineBiotechnologyData MiningHumansNanotechnologydata curationdata miningmachine learningnanobiotechnologynanoinformaticstranslational research

Identifiers

PMID24101873
PMCPMC3790274

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.