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Mendeley readers
Attention Score in Context
| Title |
Basic primitives for molecular diagram sketching
|
|---|---|
| Published in |
Journal of Cheminformatics, October 2010
|
| DOI | 10.1186/1758-2946-2-8 |
| Pubmed ID | |
| Authors |
Alex M Clark |
| Abstract |
A collection of primitive operations for molecular diagram sketching has been developed. These primitives compose a concise set of operations which can be used to construct publication-quality 2 D coordinates for molecular structures using a bare minimum of input bandwidth. The input requirements for each primitive consist of a small number of discrete choices, which means that these primitives can be used to form the basis of a user interface which does not require an accurate pointing device. This is particularly relevant to software designed for contemporary mobile platforms. The reduction of input bandwidth is accomplished by using algorithmic methods for anticipating probable geometries during the sketching process, and by intelligent use of template grafting. The algorithms and their uses are described in detail. |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 10% |
| United Kingdom | 2 | 7% |
| Germany | 1 | 3% |
| Sweden | 1 | 3% |
| Netherlands | 1 | 3% |
| Russia | 1 | 3% |
| Austria | 1 | 3% |
| Unknown | 20 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 53% |
| Other | 5 | 17% |
| Student > Bachelor | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 2 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 10 | 33% |
| Computer Science | 6 | 20% |
| Agricultural and Biological Sciences | 3 | 10% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Physics and Astronomy | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 2 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 19 December 2014.
All research outputs
#2,062,676
of 22,703,044 outputs
Outputs from Journal of Cheminformatics
#195
of 828 outputs
Outputs of similar age
#7,991
of 98,959 outputs
Outputs of similar age from Journal of Cheminformatics
#1
of 4 outputs
Altmetric has tracked 22,703,044 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 828 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done well, scoring higher than 76% 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 98,959 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them