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The evolution of the tape measure protein: units, duplications and losses

Overview of attention for article published in BMC Bioinformatics, October 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
patent
2 patents

Citations

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32 Dimensions

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mendeley
58 Mendeley
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Title
The evolution of the tape measure protein: units, duplications and losses
Published in
BMC Bioinformatics, October 2011
DOI 10.1186/1471-2105-12-s9-s10
Pubmed ID
Authors

Mahdi Belcaid, Anne Bergeron, Guylaine Poisson

Abstract

A large family of viruses that infect bacteria, called phages, is characterized by long tails used to inject DNA into their victims' cells. The tape measure protein got its name because the length of the corresponding gene is proportional to the length of the phage's tail: a fact shown by actually copying or splicing out parts of DNA in exemplar species. A natural question is whether there exist units for these tape measures, and if different tape measures have different units and lengths. Such units would allow us to retrace the evolution of tape measure proteins using their duplication/loss history. The vast number of sequenced phages genomes allows us to attack this problem with a comparative genomics approach.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Researcher 10 17%
Student > Bachelor 7 12%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Other 7 12%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 34%
Biochemistry, Genetics and Molecular Biology 16 28%
Immunology and Microbiology 5 9%
Engineering 2 3%
Medicine and Dentistry 2 3%
Other 4 7%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 July 2019.
All research outputs
#2,302,450
of 22,655,397 outputs
Outputs from BMC Bioinformatics
#682
of 7,236 outputs
Outputs of similar age
#12,220
of 132,942 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 83 outputs
Altmetric has tracked 22,655,397 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,236 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 done particularly well, scoring higher than 90% 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 132,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.