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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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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
273 Dimensions

Readers on

mendeley
78 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

The data shown below were compiled from readership statistics for 78 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 76 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 28%
Student > Master 17 22%
Researcher 10 13%
Student > Bachelor 5 6%
Student > Postgraduate 5 6%
Other 10 13%
Unknown 9 12%
Readers by discipline Count As %
Computer Science 29 37%
Agricultural and Biological Sciences 13 17%
Biochemistry, Genetics and Molecular Biology 7 9%
Mathematics 5 6%
Chemistry 4 5%
Other 7 9%
Unknown 13 17%

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
#5,497,868
of 17,067,437 outputs
Outputs from BMC Systems Biology
#293
of 1,112 outputs
Outputs of similar age
#104,346
of 264,503 outputs
Outputs of similar age from BMC Systems Biology
#1
of 1 outputs
Altmetric has tracked 17,067,437 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,112 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 67% 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 264,503 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them