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Translational machinery of the chaetognath Spadella cephaloptera: a transcriptomic approach to the analysis of cytosolic ribosomal protein genes and their expression

Overview of attention for article published in BMC Ecology and Evolution, August 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

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1 X user
wikipedia
1 Wikipedia page
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1 research highlight platform

Citations

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7 Dimensions

Readers on

mendeley
16 Mendeley
Title
Translational machinery of the chaetognath Spadella cephaloptera: a transcriptomic approach to the analysis of cytosolic ribosomal protein genes and their expression
Published in
BMC Ecology and Evolution, August 2007
DOI 10.1186/1471-2148-7-146
Pubmed ID
Authors

Roxane M Barthélémy, Anne Chenuil, Samuel Blanquart, Jean-Paul Casanova, Eric Faure

Abstract

Chaetognaths, or arrow worms, are small marine, bilaterally symmetrical metazoans. The objective of this study was to analyse ribosomal protein (RP) coding sequences from a published collection of expressed sequence tags (ESTs) from a chaetognath (Spadella cephaloptera) and to use them in phylogenetic studies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 25%
Researcher 4 25%
Student > Doctoral Student 1 6%
Professor 1 6%
Student > Master 1 6%
Other 3 19%
Unknown 2 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 56%
Unspecified 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Computer Science 1 6%
Earth and Planetary Sciences 1 6%
Other 1 6%
Unknown 2 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 February 2018.
All research outputs
#7,204,326
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#1,633
of 3,714 outputs
Outputs of similar age
#25,447
of 81,104 outputs
Outputs of similar age from BMC Ecology and Evolution
#13
of 47 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 55% 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 81,104 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 68% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.