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WebChem Viewer: a tool for the easy dissemination of chemical and structural data sets

Overview of attention for article published in BMC Bioinformatics, May 2014
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Title
WebChem Viewer: a tool for the easy dissemination of chemical and structural data sets
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-159
Pubmed ID
Authors

Jacob D Durrant, Rommie E Amaro

Abstract

Sharing sets of chemical data (e.g., chemical properties, docking scores, etc.) among collaborators with diverse skill sets is a common task in computer-aided drug design and medicinal chemistry. The ability to associate this data with images of the relevant molecular structures greatly facilitates scientific communication. There is a need for a simple, free, open-source program that can automatically export aggregated reports of entire chemical data sets to files viewable on any computer, regardless of the operating system and without requiring the installation of additional software.

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
Russia 1 3%
Brazil 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Ph. D. Student 7 23%
Student > Bachelor 4 13%
Lecturer 2 6%
Professor 2 6%
Other 6 19%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 32%
Chemistry 6 19%
Biochemistry, Genetics and Molecular Biology 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 10%
Computer Science 3 10%
Other 5 16%
Unknown 1 3%
Attention Score in Context

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 23 May 2014.
All research outputs
#18,372,841
of 22,756,196 outputs
Outputs from BMC Bioinformatics
#6,303
of 7,271 outputs
Outputs of similar age
#163,059
of 226,329 outputs
Outputs of similar age from BMC Bioinformatics
#119
of 155 outputs
Altmetric has tracked 22,756,196 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 7,271 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 226,329 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 155 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.