| Title |
Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information
|
|---|---|
| Published in |
Perspectives in Drug Discovery and Design, June 2011
|
| DOI | 10.1007/s10822-011-9440-2 |
| Pubmed ID | |
| Authors |
Iurii Sushko, Sergii Novotarskyi, Robert Körner, Anil Kumar Pandey, Matthias Rupp, Wolfram Teetz, Stefan Brandmaier, Ahmed Abdelaziz, Volodymyr V. Prokopenko, Vsevolod Y. Tanchuk, Roberto Todeschini, Alexandre Varnek, Gilles Marcou, Peter Ertl, Vladimir Potemkin, Maria Grishina, Johann Gasteiger, Christof Schwab, Igor I. Baskin, Vladimir A. Palyulin, Eugene V. Radchenko, William J. Welsh, Vladyslav Kholodovych, Dmitriy Chekmarev, Artem Cherkasov, Joao Aires-de-Sousa, Qing-You Zhang, Andreas Bender, Florian Nigsch, Luc Patiny, Antony Williams, Valery Tkachenko, Igor V. Tetko |
| Abstract |
The Online Chemical Modeling Environment is a web-based platform that aims to automate and simplify the typical steps required for QSAR modeling. The platform consists of two major subsystems: the database of experimental measurements and the modeling framework. A user-contributed database contains a set of tools for easy input, search and modification of thousands of records. The OCHEM database is based on the wiki principle and focuses primarily on the quality and verifiability of the data. The database is tightly integrated with the modeling framework, which supports all the steps required to create a predictive model: data search, calculation and selection of a vast variety of molecular descriptors, application of machine learning methods, validation, analysis of the model and assessment of the applicability domain. As compared to other similar systems, OCHEM is not intended to re-implement the existing tools or models but rather to invite the original authors to contribute their results, make them publicly available, share them with other users and to become members of the growing research community. Our intention is to make OCHEM a widely used platform to perform the QSPR/QSAR studies online and share it with other users on the Web. The ultimate goal of OCHEM is collecting all possible chemoinformatics tools within one simple, reliable and user-friendly resource. The OCHEM is free for web users and it is available online at http://www.ochem.eu. |
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% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 333 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 2% |
| United Kingdom | 4 | 1% |
| United States | 2 | <1% |
| Bulgaria | 1 | <1% |
| Mexico | 1 | <1% |
| Sweden | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 316 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 70 | 21% |
| Student > Ph. D. Student | 62 | 19% |
| Student > Bachelor | 38 | 11% |
| Student > Master | 34 | 10% |
| Professor > Associate Professor | 17 | 5% |
| Other | 56 | 17% |
| Unknown | 56 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 86 | 26% |
| Computer Science | 41 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 24 | 7% |
| Biochemistry, Genetics and Molecular Biology | 19 | 6% |
| Agricultural and Biological Sciences | 18 | 5% |
| Other | 74 | 22% |
| Unknown | 71 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 27 January 2022.
All research outputs
#2,370,402
of 25,707,225 outputs
Outputs from Perspectives in Drug Discovery and Design
#51
of 951 outputs
Outputs of similar age
#10,692
of 125,800 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#5
of 19 outputs
Altmetric has tracked 25,707,225 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 951 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 94% 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 125,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.