| Title |
Nanoinformatics: developing new computing applications for nanomedicine
|
|---|---|
| Published in |
Computing in Science & Engineering, March 2012
|
| DOI | 10.1007/s00607-012-0191-2 |
| Pubmed ID | |
| Authors |
Victor Maojo, Martin Fritts, Fernando Martin-Sanchez, Diana De la Iglesia, Raul E. Cachau, Miguel Garcia-Remesal, Jose Crespo, Joyce A. Mitchell, Alberto Anguita, Nathan Baker, Jose Maria Barreiro, Sonia E. Benitez, Guillermo De la Calle, Julio C. Facelli, Peter Ghazal, Antoine Geissbuhler, Fernando Gonzalez-Nilo, Norbert Graf, Pierre Grangeat, Isabel Hermosilla, Rada Hussein, Josipa Kern, Sabine Koch, Yannick Legre, Victoria Lopez-Alonso, Guillermo Lopez-Campos, Luciano Milanesi, Vassilis Moustakis, Cristian Munteanu, Paula Otero, Alejandro Pazos, David Perez-Rey, George Potamias, Ferran Sanz, Casimir Kulikowski |
| Abstract |
Nanoinformatics has recently emerged to address the need of computing applications at the nano level. In this regard, the authors have participated in various initiatives to identify its concepts, foundations and challenges. While nanomaterials open up the possibility for developing new devices in many industrial and scientific areas, they also offer breakthrough perspectives for the prevention, diagnosis and treatment of diseases. In this paper, we analyze the different aspects of nanoinformatics and suggest five research topics to help catalyze new research and development in the area, particularly focused on nanomedicine. We also encompass the use of informatics to further the biological and clinical applications of basic research in nanoscience and nanotechnology, and the related concept of an extended "nanotype" to coalesce information related to nanoparticles. We suggest how nanoinformatics could accelerate developments in nanomedicine, similarly to what happened with the Human Genome and other -omics projects, on issues like exchanging modeling and simulation methods and tools, linking toxicity information to clinical and personal databases or developing new approaches for scientific ontologies, among many others. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Australia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 2 | 2% |
| Chile | 1 | 1% |
| Australia | 1 | 1% |
| Germany | 1 | 1% |
| Sweden | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 88 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 29% |
| Student > Ph. D. Student | 11 | 11% |
| Student > Master | 9 | 9% |
| Other | 9 | 9% |
| Professor | 7 | 7% |
| Other | 14 | 14% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 18 | 19% |
| Medicine and Dentistry | 15 | 15% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Chemistry | 9 | 9% |
| Business, Management and Accounting | 6 | 6% |
| Other | 16 | 16% |
| Unknown | 24 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2021.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from Computing in Science & Engineering
#160
of 526 outputs
Outputs of similar age
#46,531
of 168,506 outputs
Outputs of similar age from Computing in Science & Engineering
#2
of 8 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 526 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,506 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.