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Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces

Overview of attention for article published in BMC Systems Biology, September 2010
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

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308 Dimensions

Readers on

mendeley
82 Mendeley
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Title
Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
Published in
BMC Systems Biology, September 2010
DOI 10.1186/1752-0509-4-s2-s6
Pubmed ID
Authors

Zheng Xia, Ling-Yun Wu, Xiaobo Zhou, Stephen TC Wong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Unknown 80 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 28%
Student > Master 19 23%
Researcher 10 12%
Student > Bachelor 6 7%
Student > Postgraduate 4 5%
Other 10 12%
Unknown 10 12%
Readers by discipline Count As %
Computer Science 31 38%
Agricultural and Biological Sciences 13 16%
Biochemistry, Genetics and Molecular Biology 9 11%
Mathematics 5 6%
Engineering 3 4%
Other 7 9%
Unknown 14 17%
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 26 February 2020.
All research outputs
#7,607,773
of 23,195,584 outputs
Outputs from BMC Systems Biology
#314
of 1,144 outputs
Outputs of similar age
#34,840
of 96,400 outputs
Outputs of similar age from BMC Systems Biology
#4
of 15 outputs
Altmetric has tracked 23,195,584 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 96,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.