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The influence of the inactives subset generation on the performance of machine learning methods

Overview of attention for article published in Journal of Cheminformatics, April 2013
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
googleplus
1 Google+ user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
56 Mendeley
citeulike
3 CiteULike
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Title
The influence of the inactives subset generation on the performance of machine learning methods
Published in
Journal of Cheminformatics, April 2013
DOI 10.1186/1758-2946-5-17
Pubmed ID
Authors

Sabina Smusz, Rafał Kurczab, Andrzej J Bojarski

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 4%
India 1 2%
Brazil 1 2%
United Kingdom 1 2%
Romania 1 2%
Poland 1 2%
Unknown 49 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 27%
Student > Ph. D. Student 14 25%
Student > Master 10 18%
Professor > Associate Professor 3 5%
Other 2 4%
Other 7 13%
Unknown 5 9%
Readers by discipline Count As %
Chemistry 19 34%
Agricultural and Biological Sciences 8 14%
Computer Science 8 14%
Engineering 5 9%
Medicine and Dentistry 3 5%
Other 4 7%
Unknown 9 16%

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 07 June 2015.
All research outputs
#1,724,603
of 11,878,506 outputs
Outputs from Journal of Cheminformatics
#199
of 465 outputs
Outputs of similar age
#42,705
of 231,286 outputs
Outputs of similar age from Journal of Cheminformatics
#8
of 21 outputs
Altmetric has tracked 11,878,506 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 465 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 57% 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 231,286 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 81% of its contemporaries.
We're also able to compare this research output to 21 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 61% of its contemporaries.