↓ Skip to main content

Developing science gateways for drug discovery in a grid environment

Overview of attention for article published in SpringerPlus, August 2016
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
21 Mendeley
citeulike
3 CiteULike
Title
Developing science gateways for drug discovery in a grid environment
Published in
SpringerPlus, August 2016
DOI 10.1186/s40064-016-2914-x
Pubmed ID
Authors

Horacio Pérez-Sánchez, Horacio Pérez-Sánchez, Vahid Rezaei, Vitaliy Mezhuyev, Duhu Man, Jorge Peña-García, Helena den-Haan, Sandra Gesing

Abstract

Methods for in silico screening of large databases of molecules increasingly complement and replace experimental techniques to discover novel compounds to combat diseases. As these techniques become more complex and computationally costly we are faced with an increasing problem to provide the research community of life sciences with a convenient tool for high-throughput virtual screening on distributed computing resources. To this end, we recently integrated the biophysics-based drug-screening program FlexScreen into a service, applicable for large-scale parallel screening and reusable in the context of scientific workflows. Our implementation is based on Pipeline Pilot and Simple Object Access Protocol and provides an easy-to-use graphical user interface to construct complex workflows, which can be executed on distributed computing resources, thus accelerating the throughput by several orders of magnitude.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 19%
Professor 2 10%
Researcher 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Other 4 19%
Unknown 6 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 14%
Computer Science 3 14%
Engineering 2 10%
Chemistry 2 10%
Biochemistry, Genetics and Molecular Biology 2 10%
Other 3 14%
Unknown 6 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 09 August 2016.
All research outputs
#8,995,893
of 11,251,144 outputs
Outputs from SpringerPlus
#1,104
of 1,697 outputs
Outputs of similar age
#186,238
of 264,656 outputs
Outputs of similar age from SpringerPlus
#99
of 120 outputs
Altmetric has tracked 11,251,144 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,697 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 22nd percentile – i.e., 22% 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 264,656 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.