Evidence map›Paper›PMID 24932210›Full record

ArticleComputational science & discovery2013

Nanoinformatics knowledge infrastructures: bringing efficient information management to nanomedical research.

D de la Iglesia, R E Cachau, M García-Remesal, V Maojo

Abstract read
In one paragraph

Article in Computational science & discovery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Nanoinformatics: emerging databases and available tools.International journal of molecular sciences · 2014
    Review
  6. 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.

D de la IglesiaBiomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain.
R E CachauAdvanced Biomedical Computing Center, National Cancer Institute, SAIC-Frederick Inc., Frederick National Laboratory for Cancer Research, Frederick, MD 21702, USA.
M García-RemesalBiomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain.
V MaojoBiomedical Informatics Group, Dept. Inteligencia Artificial, Facultad de Informatica, Universidad Politecnica de Madrid, 28660, Boadilla del Monte, Madrid, Spain.

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

Nanotechnology represents an area of particular promise and significant opportunity across multiple scientific disciplines. Ongoing nanotechnology research ranges from the characterization of nanoparticles and nanomaterials to the analysis and processing of experimental data seeking correlations between nanoparticles and their functionalities and side effects. Due to their special properties, nanoparticles are suitable for cellular-level diagnostics and therapy, offering numerous applications in medicine, e.g. development of biomedical devices, tissue repair, drug delivery systems and biosensors. In nanomedicine, recent studies are producing large amounts of structural and property data, highlighting the role for computational approaches in information management. While

Identifiers

PMID24932210
PMCPMC4053539

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.