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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CurlySMILES: a chemical language to customize and annotate encodings of molecular and nanodevice structures
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2011
|
| DOI | 10.1186/1758-2946-3-1 |
| Pubmed ID | |
| Authors |
Axel Drefahl |
| Abstract |
CurlySMILES is a chemical line notation which extends SMILES with annotations for storage, retrieval and modeling of interlinked, coordinated, assembled and adsorbed molecules in supramolecular structures and nanodevices. Annotations are enclosed in curly braces and anchored to an atomic node or at the end of the molecular graph depending on the annotation type. CurlySMILES includes predefined annotations for stereogenicity, electron delocalization charges, extra-molecular interactions and connectivity, surface attachment, solutions, and crystal structures and allows extensions for domain-specific annotations. CurlySMILES provides a shorthand format to encode molecules with repetitive substructural parts or motifs such as monomer units in macromolecules and amino acids in peptide chains. CurlySMILES further accommodates special formats for non-molecular materials that are commonly denoted by composition of atoms or substructures rather than complete atom connectivity. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 2% |
| Russia | 1 | 2% |
| Australia | 1 | 2% |
| Unknown | 55 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Researcher | 11 | 18% |
| Student > Bachelor | 6 | 10% |
| Other | 6 | 10% |
| Student > Master | 6 | 10% |
| Other | 7 | 12% |
| Unknown | 12 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 17 | 28% |
| Computer Science | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 10% |
| Agricultural and Biological Sciences | 6 | 10% |
| Chemical Engineering | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 12 | 20% |
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 08 April 2022.
All research outputs
#2,270,163
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#206
of 891 outputs
Outputs of similar age
#13,106
of 187,522 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 6 outputs
Altmetric has tracked 24,143,470 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 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. 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 187,522 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 93% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.