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Asymmetric bagging and feature selection for activities prediction of drug molecules

Overview of attention for article published in BMC Bioinformatics, May 2008
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
19 Mendeley
citeulike
2 CiteULike
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Title
Asymmetric bagging and feature selection for activities prediction of drug molecules
Published in
BMC Bioinformatics, May 2008
DOI 10.1186/1471-2105-9-s6-s7
Pubmed ID
Authors

Guo-Zheng Li, Hao-Hua Meng, Wen-Cong Lu, Jack Y Yang, Mary Qu Yang

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 5%
Poland 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 3 16%
Student > Master 3 16%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Computer Science 9 47%
Agricultural and Biological Sciences 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Mathematics 1 5%
Physics and Astronomy 1 5%
Other 1 5%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 December 2023.
All research outputs
#8,336,982
of 24,929,945 outputs
Outputs from BMC Bioinformatics
#3,179
of 7,611 outputs
Outputs of similar age
#32,611
of 93,707 outputs
Outputs of similar age from BMC Bioinformatics
#25
of 44 outputs
Altmetric has tracked 24,929,945 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,611 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 93,707 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 44 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.