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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Efficient ring perception for the Chemistry Development Kit
|
|---|---|
| Published in |
Journal of Cheminformatics, January 2014
|
| DOI | 10.1186/1758-2946-6-3 |
| Pubmed ID | |
| Authors |
John W May, Christoph Steinbeck |
| Abstract |
The Chemistry Development Kit (CDK) is an open source Java library for manipulating and processing chemical information. A key aspect in handling chemical structures is the determination of the chemical rings. The rings of a structure are used areas including descriptors, stereochemistry, similarity, screening and atom typing. The CDK includes multiple algorithms for determining the rings of a structure on demand. Non-unique descriptions of rings were often used due to the slower performance of the unique alternatives. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| United States | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 7% |
| United Kingdom | 1 | 2% |
| Portugal | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 36 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 31% |
| Student > Ph. D. Student | 12 | 29% |
| Other | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Postgraduate | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 13 | 31% |
| Biochemistry, Genetics and Molecular Biology | 5 | 12% |
| Computer Science | 5 | 12% |
| Agricultural and Biological Sciences | 4 | 10% |
| Chemical Engineering | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 6 | 14% |
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 21 December 2020.
All research outputs
#2,180,377
of 25,079,131 outputs
Outputs from Journal of Cheminformatics
#184
of 942 outputs
Outputs of similar age
#25,183
of 320,531 outputs
Outputs of similar age from Journal of Cheminformatics
#2
of 11 outputs
Altmetric has tracked 25,079,131 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 942 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 well, scoring higher than 80% 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 320,531 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 92% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.