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PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome

Overview of attention for article published in BMC Bioinformatics, June 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
51 Mendeley
citeulike
8 CiteULike
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Title
PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome
Published in
BMC Bioinformatics, June 2011
DOI 10.1186/1471-2105-12-248
Pubmed ID
Authors

Jiajie Zhang, Amir Madany Mamlouk, Thomas Martinetz, Suhua Chang, Jing Wang, Rolf Hilgenfeld

Twitter Demographics

The data shown below were collected from the profiles of 11 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 8%
Brazil 1 2%
Sweden 1 2%
Korea, Republic of 1 2%
United States 1 2%
Unknown 43 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 35%
Student > Ph. D. Student 9 18%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Student > Postgraduate 4 8%
Other 11 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 57%
Biochemistry, Genetics and Molecular Biology 7 14%
Computer Science 6 12%
Medicine and Dentistry 3 6%
Mathematics 1 2%
Other 5 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 May 2012.
All research outputs
#2,303,206
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#917
of 6,153 outputs
Outputs of similar age
#35,039
of 188,988 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 2 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 84% 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 188,988 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 2 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