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Put a tiger in your tank: the polyclad flatworm Maritigrella crozieri as a proposed model for evo-devo

Overview of attention for article published in EvoDevo, October 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 321)
  • High Attention Score compared to outputs of the same age (94th percentile)

Mentioned by

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39 X users

Citations

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32 Dimensions

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57 Mendeley
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Title
Put a tiger in your tank: the polyclad flatworm Maritigrella crozieri as a proposed model for evo-devo
Published in
EvoDevo, October 2013
DOI 10.1186/2041-9139-4-29
Pubmed ID
Authors

François Lapraz, Kate A Rawlinson, Johannes Girstmair, Bartłomiej Tomiczek, Jürgen Berger, Gáspár Jékely, Maximilian J Telford, Bernhard Egger

Abstract

Polyclad flatworms are an early branching clade within the rhabditophoran Platyhelminthes. They provide an interesting system with which to explore the evolution of development within Platyhelminthes and amongst Spiralia (Lophotrochozoa). Unlike most other flatworms, polyclads undergo spiral cleavage (similar to that seen in some other spiralian taxa), they are the only free-living flatworms where development via a larval stage occurs, and they are the only flatworms in which embryos can be reared outside of their protective egg case, enabling embryonic manipulations. Past work has focused on comparing early cleavage patterns and larval anatomy between polyclads and other spiralians. We have selected Maritigrella crozieri, the tiger flatworm, as a suitable polyclad species for developmental studies, because it is abundant and large in size compared to other species. These characteristics have facilitated the generation of a transcriptome from embryonic and larval material and are enabling us to develop methods for gene expression analysis and immunofluorescence techniques. Here we give an overview of M. crozieri and its development, we highlight the advantages and current limitations of this animal as a potential evo-devo model and discuss current lines of research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 39 X users 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Norway 1 2%
Peru 1 2%
Unknown 54 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 19%
Student > Bachelor 8 14%
Student > Ph. D. Student 8 14%
Student > Master 6 11%
Professor > Associate Professor 5 9%
Other 10 18%
Unknown 9 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 56%
Biochemistry, Genetics and Molecular Biology 9 16%
Engineering 3 5%
Environmental Science 2 4%
Chemistry 1 2%
Other 1 2%
Unknown 9 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 20 March 2019.
All research outputs
#1,295,891
of 23,237,082 outputs
Outputs from EvoDevo
#26
of 321 outputs
Outputs of similar age
#12,592
of 210,743 outputs
Outputs of similar age from EvoDevo
#3
of 3 outputs
Altmetric has tracked 23,237,082 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 321 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has done particularly well, scoring higher than 92% 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 210,743 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 94% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.