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Drug discovery and development for neglected diseases: the DNDi model

Overview of attention for article published in Drug Design, Development and Therapy, March 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
306 Mendeley
Title
Drug discovery and development for neglected diseases: the DNDi model
Published in
Drug Design, Development and Therapy, March 2011
DOI 10.2147/dddt.s16381
Pubmed ID
Authors

Eric Chatelain, Jean-Robert Ioset

Abstract

New models of drug discovery have been developed to overcome the lack of modern and effective drugs for neglected diseases such as human African trypanosomiasis (HAT; sleeping sickness), leishmaniasis, and Chagas disease, which have no financial viability for the pharmaceutical industry. With the purpose of combining the skills and research capacity in academia, pharmaceutical industry, and contract researchers, public-private partnerships or product development partnerships aim to create focused research consortia that address all aspects of drug discovery and development. These consortia not only emulate the projects within pharmaceutical and biotechnology industries, eg, identification and screening of libraries, medicinal chemistry, pharmacology and pharmacodynamics, formulation development, and manufacturing, but also use and strengthen existing capacity in disease-endemic countries, particularly for the conduct of clinical trials. The Drugs for Neglected Diseases initiative (DNDi) has adopted a model closely related to that of a virtual biotechnology company for the identification and optimization of drug leads. The application of this model to the development of drug candidates for the kinetoplastid infections of HAT, Chagas disease, and leishmaniasis has already led to the identification of new candidates issued from DNDi's own discovery pipeline. This demonstrates that the model DNDi has been implementing is working but its DNDi, neglected diseases sustainability remains to be proven.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 2%
Portugal 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Argentina 1 <1%
United States 1 <1%
Unknown 296 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 54 18%
Student > Ph. D. Student 53 17%
Student > Bachelor 38 12%
Researcher 37 12%
Student > Doctoral Student 22 7%
Other 55 18%
Unknown 47 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 17%
Chemistry 42 14%
Biochemistry, Genetics and Molecular Biology 38 12%
Medicine and Dentistry 25 8%
Pharmacology, Toxicology and Pharmaceutical Science 21 7%
Other 61 20%
Unknown 66 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 03 July 2018.
All research outputs
#1,513,987
of 25,374,647 outputs
Outputs from Drug Design, Development and Therapy
#65
of 2,268 outputs
Outputs of similar age
#5,844
of 120,086 outputs
Outputs of similar age from Drug Design, Development and Therapy
#2
of 9 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,268 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 97% 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 120,086 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 95% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.