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CamMedNP: Building the Cameroonian 3D structural natural products database for virtual screening

Overview of attention for article published in BMC Complementary Medicine and Therapies, April 2013
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Citations

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Title
CamMedNP: Building the Cameroonian 3D structural natural products database for virtual screening
Published in
BMC Complementary Medicine and Therapies, April 2013
DOI 10.1186/1472-6882-13-88
Pubmed ID
Authors

Fidele Ntie-Kang, James A Mbah, Luc Meva’a Mbaze, Lydia L Lifongo, Michael Scharfe, Joelle Ngo Hanna, Fidelis Cho-Ngwa, Pascal Amoa Onguéné, Luc C Owono Owono, Eugene Megnassan, Wolfgang Sippl, Simon MN Efange

Abstract

Computer-aided drug design (CADD) often involves virtual screening (VS) of large compound datasets and the availability of such is vital for drug discovery protocols. We present CamMedNP - a new database beginning with more than 2,500 compounds of natural origin, along with some of their derivatives which were obtained through hemisynthesis. These are pure compounds which have been previously isolated and characterized using modern spectroscopic methods and published by several research teams spread across Cameroon.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
Brazil 1 1%
Unknown 89 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Student > Master 11 12%
Student > Bachelor 11 12%
Researcher 8 9%
Student > Doctoral Student 6 7%
Other 22 24%
Unknown 16 17%
Readers by discipline Count As %
Chemistry 17 18%
Biochemistry, Genetics and Molecular Biology 17 18%
Agricultural and Biological Sciences 15 16%
Pharmacology, Toxicology and Pharmaceutical Science 7 8%
Computer Science 6 7%
Other 9 10%
Unknown 21 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 13 June 2014.
All research outputs
#14,168,358
of 22,707,247 outputs
Outputs from BMC Complementary Medicine and Therapies
#1,678
of 3,619 outputs
Outputs of similar age
#99,922
of 175,235 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#39
of 60 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,619 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 175,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.