↓ Skip to main content

Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge

Overview of attention for article published in Journal of Cheminformatics, May 2014
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
42 Mendeley
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.
Title
Self organising hypothesis networks: a new approach for representing and structuring SAR knowledge
Published in
Journal of Cheminformatics, May 2014
DOI 10.1186/1758-2946-6-21
Pubmed ID
Authors

Thierry Hanser, Chris Barber, Edward Rosser, Jonathan D Vessey, Samuel J Webb, Stéphane Werner

Abstract

Combining different sources of knowledge to build improved structure activity relationship models is not easy owing to the variety of knowledge formats and the absence of a common framework to interoperate between learning techniques. Most of the current approaches address this problem by using consensus models that operate at the prediction level. We explore the possibility to directly combine these sources at the knowledge level, with the aim to harvest potentially increased synergy at an earlier stage. Our goal is to design a general methodology to facilitate knowledge discovery and produce accurate and interpretable models.

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

Geographical breakdown

Country Count As %
Germany 2 5%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 31%
Student > Ph. D. Student 7 17%
Student > Bachelor 5 12%
Other 4 10%
Professor > Associate Professor 4 10%
Other 2 5%
Unknown 7 17%
Readers by discipline Count As %
Chemistry 13 31%
Computer Science 6 14%
Agricultural and Biological Sciences 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 3 7%
Environmental Science 2 5%
Other 6 14%
Unknown 7 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 26 July 2017.
All research outputs
#4,271,476
of 24,143,470 outputs
Outputs from Journal of Cheminformatics
#405
of 891 outputs
Outputs of similar age
#40,384
of 231,831 outputs
Outputs of similar age from Journal of Cheminformatics
#8
of 23 outputs
Altmetric has tracked 24,143,470 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 891 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has gotten more attention than average, scoring higher than 54% 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 231,831 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 82% 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 69% of its contemporaries.