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CpGcluster: a distance-based algorithm for CpG-island detection

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

patent
1 patent

Citations

dimensions_citation
150 Dimensions

Readers on

mendeley
131 Mendeley
citeulike
1 CiteULike
connotea
3 Connotea
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Title
CpGcluster: a distance-based algorithm for CpG-island detection
Published in
BMC Bioinformatics, October 2006
DOI 10.1186/1471-2105-7-446
Pubmed ID
Authors

Michael Hackenberg, Christopher Previti, Pedro Luis Luque-Escamilla, Pedro Carpena, José Martínez-Aroza, José L Oliver

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
United States 2 2%
New Zealand 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Canada 1 <1%
Japan 1 <1%
Argentina 1 <1%
Unknown 121 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 21%
Researcher 26 20%
Student > Master 15 11%
Professor 12 9%
Student > Doctoral Student 8 6%
Other 24 18%
Unknown 18 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 55 42%
Biochemistry, Genetics and Molecular Biology 24 18%
Computer Science 12 9%
Medicine and Dentistry 5 4%
Mathematics 3 2%
Other 10 8%
Unknown 22 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 07 December 2018.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from BMC Bioinformatics
#3,074
of 7,380 outputs
Outputs of similar age
#23,506
of 67,035 outputs
Outputs of similar age from BMC Bioinformatics
#9
of 45 outputs
Altmetric has tracked 23,308,124 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 7,380 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 67,035 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 45 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.