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The LabelHash algorithm for substructure matching

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

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
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Title
The LabelHash algorithm for substructure matching
Published in
BMC Bioinformatics, November 2010
DOI 10.1186/1471-2105-11-555
Pubmed ID
Authors

Mark Moll, Drew H Bryant, Lydia E Kavraki

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 12%
Italy 1 2%
Netherlands 1 2%
Israel 1 2%
Germany 1 2%
Unknown 39 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 43%
Researcher 10 20%
Student > Master 4 8%
Professor > Associate Professor 4 8%
Student > Bachelor 3 6%
Other 4 8%
Unknown 3 6%
Readers by discipline Count As %
Computer Science 19 39%
Agricultural and Biological Sciences 15 31%
Biochemistry, Genetics and Molecular Biology 3 6%
Engineering 3 6%
Chemistry 3 6%
Other 2 4%
Unknown 4 8%

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 23 August 2017.
All research outputs
#3,279,477
of 11,648,047 outputs
Outputs from BMC Bioinformatics
#1,619
of 4,287 outputs
Outputs of similar age
#91,662
of 263,265 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 101 outputs
Altmetric has tracked 11,648,047 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,287 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 52% 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 263,265 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 63% of its contemporaries.
We're also able to compare this research output to 101 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 64% of its contemporaries.