Fernán Agüero, Bissan Al-Lazikani, Martin Aslett, Matthew Berriman, Frederick S. Buckner, Robert K. Campbell, Santiago Carmona, Ian M. Carruthers, A. W. Edith Chan, Feng Chen, Gregory J. Crowther, Maria A. Doyle, Christiane Hertz-Fowler, Andrew L. Hopkins, Gregg McAllister, Solomon Nwaka, John P. Overington, Arnab Pain, Gaia V. Paolini, Ursula Pieper, Stuart A. Ralph, Aaron Riechers, David S. Roos, Andrej Sali, Dhanasekaran Shanmugam, Takashi Suzuki, Wesley C. Van Voorhis, Christophe L. M. J. Verlinde
Abstract
The increasing availability of genomic data for pathogens that cause tropical diseases has created new opportunities for drug discovery and development. However, if the potential of such data is to be fully exploited, the data must be effectively integrated and be easy to interrogate. Here, we discuss the development of the TDR Targets database (http://tdrtargets.org), which encompasses extensive genetic, biochemical and pharmacological data related to tropical disease pathogens, as well as computationally predicted druggability for potential targets and compound desirability information. By allowing the integration and weighting of this information, this database aims to facilitate the identification and prioritization of candidate drug targets for pathogens.
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 28 December 2021.
All research outputs
#4,044,784
of 26,613,602 outputs
Outputs from Nature Reviews Drug Discovery
#1,601
of 3,780 outputs
Outputs of similar age
#12,827
of 105,858 outputs
Outputs of similar age from Nature Reviews Drug Discovery
#9
of 23 outputs
Altmetric has tracked 26,613,602 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,780 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has gotten more attention than average, scoring higher than 55% 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 105,858 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 84% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
