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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scaffold Hunter: a comprehensive visual analytics framework for drug discovery
|
|---|---|
| Published in |
Journal of Cheminformatics, May 2017
|
| DOI | 10.1186/s13321-017-0213-3 |
| Pubmed ID | |
| Authors |
Till Schäfer, Nils Kriege, Lina Humbeck, Karsten Klein, Oliver Koch, Petra Mutzel |
| Abstract |
The era of big data is influencing the way how rational drug discovery and the development of bioactive molecules is performed and versatile tools are needed to assist in molecular design workflows. Scaffold Hunter is a flexible visual analytics framework for the analysis of chemical compound data and combines techniques from several fields such as data mining and information visualization. The framework allows analyzing high-dimensional chemical compound data in an interactive fashion, combining intuitive visualizations with automated analysis methods including versatile clustering methods. Originally designed to analyze the scaffold tree, Scaffold Hunter is continuously revised and extended. We describe recent extensions that significantly increase the applicability for a variety of tasks. |
X Demographics
The data shown below were collected from the profiles of 14 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 Kingdom | 4 | 29% |
| Denmark | 1 | 7% |
| United States | 1 | 7% |
| Sweden | 1 | 7% |
| France | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 71% |
| Members of the public | 2 | 14% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Germany | 1 | 1% |
| Unknown | 97 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 21% |
| Researcher | 21 | 21% |
| Student > Master | 13 | 13% |
| Student > Bachelor | 13 | 13% |
| Professor > Associate Professor | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 14 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 22 | 22% |
| Biochemistry, Genetics and Molecular Biology | 15 | 15% |
| Computer Science | 13 | 13% |
| Agricultural and Biological Sciences | 10 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 6% |
| Other | 11 | 11% |
| Unknown | 22 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 14 June 2018.
All research outputs
#1,880,699
of 24,261,860 outputs
Outputs from Journal of Cheminformatics
#155
of 893 outputs
Outputs of similar age
#36,179
of 314,596 outputs
Outputs of similar age from Journal of Cheminformatics
#5
of 20 outputs
Altmetric has tracked 24,261,860 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 893 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 82% 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 314,596 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.