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SING: Subgraph search In Non-homogeneous Graphs

Overview of attention for article published in BMC Bioinformatics, February 2010
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
38 Mendeley
citeulike
5 CiteULike
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Title
SING: Subgraph search In Non-homogeneous Graphs
Published in
BMC Bioinformatics, February 2010
DOI 10.1186/1471-2105-11-96
Pubmed ID
Authors

Raffaele Di Natale, Alfredo Ferro, Rosalba Giugno, Misael Mongiovì, Alfredo Pulvirenti, Dennis Shasha

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 3%
Turkey 1 3%
Germany 1 3%
Unknown 33 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 34%
Researcher 6 16%
Student > Master 5 13%
Other 4 11%
Professor 3 8%
Other 6 16%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 22 58%
Agricultural and Biological Sciences 5 13%
Engineering 3 8%
Arts and Humanities 2 5%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 4 11%
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 31 July 2020.
All research outputs
#7,645,563
of 23,278,709 outputs
Outputs from BMC Bioinformatics
#3,070
of 7,369 outputs
Outputs of similar age
#35,213
of 95,189 outputs
Outputs of similar age from BMC Bioinformatics
#22
of 66 outputs
Altmetric has tracked 23,278,709 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 7,369 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 95,189 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.