↓ Skip to main content

A dictionary based informational genome analysis

Overview of attention for article published in BMC Genomics, January 2012
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
36 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A dictionary based informational genome analysis
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-485
Pubmed ID
Authors

Alberto Castellini, Giuditta Franco, Vincenzo Manca

Abstract

In the post-genomic era several methods of computational genomics are emerging to understand how the whole information is structured within genomes. Literature of last five years accounts for several alignment-free methods, arisen as alternative metrics for dissimilarity of biological sequences. Among the others, recent approaches are based on empirical frequencies of DNA k-mers in whole genomes.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Sweden 1 3%
Brazil 1 3%
Mexico 1 3%
Germany 1 3%
Unknown 30 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 33%
Student > Ph. D. Student 10 28%
Student > Master 3 8%
Other 2 6%
Professor 2 6%
Other 5 14%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 47%
Biochemistry, Genetics and Molecular Biology 8 22%
Computer Science 5 14%
Immunology and Microbiology 1 3%
Economics, Econometrics and Finance 1 3%
Other 2 6%
Unknown 2 6%

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 06 February 2013.
All research outputs
#8,480,340
of 15,855,594 outputs
Outputs from BMC Genomics
#3,768
of 8,831 outputs
Outputs of similar age
#63,011
of 135,759 outputs
Outputs of similar age from BMC Genomics
#1
of 4 outputs
Altmetric has tracked 15,855,594 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,831 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 57% 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 135,759 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 53% of its contemporaries.
We're also able to compare this research output to 4 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