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SANCDB: a South African natural compound database

Overview of attention for article published in Journal of Cheminformatics, June 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

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1 blog
3 tweeters

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95 Mendeley
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SANCDB: a South African natural compound database
Published in
Journal of Cheminformatics, June 2015
DOI 10.1186/s13321-015-0080-8
Pubmed ID

Rowan Hatherley, David K Brown, Thommas M Musyoka, David L Penkler, Ngonidzashe Faya, Kevin A Lobb, Özlem Tastan Bishop


Natural products (NPs) are important to the drug discovery process. NP research efforts are expanding world-wide and South Africa is no exception to this. While freely-accessible small molecule databases, containing compounds isolated from indigenous sources, have been established in a number of other countries, there is currently no such online database in South Africa. The current research presents a South African natural compound database, named SANCDB. This is a curated and fully-referenced database containing compound information for 600 natural products extracted directly from journal articles, book chapters and theses. There is a web interface to the database, which is simple and easy to use, while allowing for compounds to be searched by a number of different criteria. Being fully referenced, each compound page contains links to the original referenced work from which the information was obtained. Further, the website provides a submission pipeline, allowing researchers to deposit compounds from their own research into the database. SANCDB is currently the only web-based NP database in Africa. It aims to provide a useful resource for the in silico screening of South African NPs for drug discovery purposes. The database is supported by a submission pipeline to allow growth by entries from researchers. As such, we currently present SANCDB the starting point of a platform for a community-driven, curated database to further natural products research in South Africa. SANCDB is freely available at https://sancdb.rubi.ru.ac.za/.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
Germany 1 1%
Cameroon 1 1%
South Africa 1 1%
India 1 1%
United States 1 1%
Unknown 88 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 26%
Student > Master 23 24%
Researcher 14 15%
Student > Bachelor 10 11%
Student > Postgraduate 8 8%
Other 15 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 31%
Agricultural and Biological Sciences 24 25%
Chemistry 15 16%
Computer Science 8 8%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Other 8 8%
Unknown 5 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 August 2015.
All research outputs
of 13,442,019 outputs
Outputs from Journal of Cheminformatics
of 543 outputs
Outputs of similar age
of 235,287 outputs
Outputs of similar age from Journal of Cheminformatics
of 1 outputs
Altmetric has tracked 13,442,019 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 543 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 64% 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 235,287 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 83% of its contemporaries.
We're also able to compare this research output to 1 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