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High Throughput and Computational Repurposing for Neglected Diseases

Overview of attention for article published in Pharmaceutical Research, December 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
163 Mendeley
Title
High Throughput and Computational Repurposing for Neglected Diseases
Published in
Pharmaceutical Research, December 2018
DOI 10.1007/s11095-018-2558-3
Pubmed ID
Authors

Helen W. Hernandez, Melinda Soeung, Kimberley M. Zorn, Norah Ashoura, Melina Mottin, Carolina Horta Andrade, Conor R. Caffrey, Jair Lage de Siqueira-Neto, Sean Ekins

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 163 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 23 14%
Student > Master 21 13%
Student > Ph. D. Student 18 11%
Researcher 17 10%
Student > Doctoral Student 10 6%
Other 29 18%
Unknown 45 28%
Readers by discipline Count As %
Medicine and Dentistry 24 15%
Biochemistry, Genetics and Molecular Biology 20 12%
Agricultural and Biological Sciences 14 9%
Pharmacology, Toxicology and Pharmaceutical Science 12 7%
Chemistry 12 7%
Other 30 18%
Unknown 51 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 April 2019.
All research outputs
#13,397,463
of 23,117,738 outputs
Outputs from Pharmaceutical Research
#2,112
of 2,873 outputs
Outputs of similar age
#194,509
of 406,616 outputs
Outputs of similar age from Pharmaceutical Research
#9
of 30 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,873 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 26th percentile – i.e., 26% 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 406,616 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 30 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 70% of its contemporaries.