↓ Skip to main content

BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results

Overview of attention for article published in BMC Bioinformatics, June 2011
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
118 Mendeley
citeulike
11 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results
Published in
BMC Bioinformatics, June 2011
DOI 10.1186/1471-2105-12-257
Pubmed ID
Authors
Abstract

High-throughput screening (HTS) is one of the main strategies to identify novel entry points for the development of small molecule chemical probes and drugs and is now commonly accessible to public sector research. Large amounts of data generated in HTS campaigns are submitted to public repositories such as PubChem, which is growing at an exponential rate. The diversity and quantity of available HTS assays and screening results pose enormous challenges to organizing, standardizing, integrating, and analyzing the datasets and thus to maximize the scientific and ultimately the public health impact of the huge investments made to implement public sector HTS capabilities. Novel approaches to organize, standardize and access HTS data are required to address these challenges.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 3%
United Kingdom 3 3%
Netherlands 2 2%
Brazil 2 2%
Japan 1 <1%
France 1 <1%
Germany 1 <1%
China 1 <1%
Switzerland 1 <1%
Other 1 <1%
Unknown 101 86%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 35 30%
Student > Ph. D. Student 24 20%
Student > Master 10 8%
Other 9 8%
Student > Bachelor 7 6%
Other 22 19%
Unknown 11 9%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 31 26%
Computer Science 24 20%
Chemistry 16 14%
Engineering 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Other 17 14%
Unknown 16 14%
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 25 March 2016.
All research outputs
#18,346,472
of 26,874,583 outputs
Outputs from BMC Bioinformatics
#5,793
of 7,844 outputs
Outputs of similar age
#96,714
of 130,169 outputs
Outputs of similar age from BMC Bioinformatics
#78
of 105 outputs
Altmetric has tracked 26,874,583 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,844 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 18th percentile – i.e., 18% 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 130,169 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.