| Title |
OMG: Open Molecule Generator
|
|---|---|
| Published in |
Journal of Cheminformatics, September 2012
|
| DOI | 10.1186/1758-2946-4-21 |
| Pubmed ID | |
| Authors |
Julio E Peironcely, Miguel Rojas-Chertó, Davide Fichera, Theo Reijmers, Leon Coulier, Jean-Loup Faulon, Thomas Hankemeier |
X Demographics
The data shown below were collected from the profiles of 16 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 | 7 | 44% |
| Netherlands | 2 | 13% |
| United Kingdom | 1 | 6% |
| Australia | 1 | 6% |
| Spain | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 3 | 19% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| Spain | 2 | 2% |
| Brazil | 2 | 2% |
| India | 2 | 2% |
| South Africa | 1 | <1% |
| Switzerland | 1 | <1% |
| Colombia | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 113 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 35 | 26% |
| Student > Ph. D. Student | 34 | 26% |
| Student > Master | 9 | 7% |
| Student > Doctoral Student | 7 | 5% |
| Other | 7 | 5% |
| Other | 24 | 18% |
| Unknown | 17 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 43 | 32% |
| Agricultural and Biological Sciences | 21 | 16% |
| Computer Science | 16 | 12% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Engineering | 6 | 5% |
| Other | 15 | 11% |
| Unknown | 20 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 16 June 2020.
All research outputs
#864,183
of 25,837,817 outputs
Outputs from Journal of Cheminformatics
#19
of 984 outputs
Outputs of similar age
#4,703
of 193,588 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 13 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 984 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one has done particularly well, scoring higher than 98% 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 193,588 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 96% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.