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Structure alignment based on coding of local geometric measures

Overview of attention for article published in BMC Bioinformatics, July 2006
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Mentioned by

patent
1 patent

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
27 Mendeley
citeulike
2 CiteULike
connotea
1 Connotea
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Title
Structure alignment based on coding of local geometric measures
Published in
BMC Bioinformatics, July 2006
DOI 10.1186/1471-2105-7-346
Pubmed ID
Authors

Peter L Chang, Andrew W Rinne, T Gregory Dewey

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 11%
United States 2 7%
Brazil 2 7%
Germany 1 4%
Unknown 19 70%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 33%
Student > Ph. D. Student 7 26%
Professor > Associate Professor 5 19%
Student > Bachelor 2 7%
Unspecified 1 4%
Other 2 7%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 44%
Computer Science 4 15%
Biochemistry, Genetics and Molecular Biology 4 15%
Chemistry 3 11%
Unspecified 1 4%
Other 1 4%
Unknown 2 7%
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 19 April 2007.
All research outputs
#7,610,236
of 23,203,401 outputs
Outputs from BMC Bioinformatics
#3,057
of 7,354 outputs
Outputs of similar age
#23,217
of 66,425 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 40 outputs
Altmetric has tracked 23,203,401 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 7,354 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 66,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.