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Analysis of EST data of the marine protist Oxyrrhis marina, an emerging model for alveolate biology and evolution

Overview of attention for article published in BMC Genomics, February 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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6 X users

Citations

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24 Dimensions

Readers on

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67 Mendeley
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Title
Analysis of EST data of the marine protist Oxyrrhis marina, an emerging model for alveolate biology and evolution
Published in
BMC Genomics, February 2014
DOI 10.1186/1471-2164-15-122
Pubmed ID
Authors

Renny Lee, Hugo Lai, Shehre Banoo Malik, Juan F Saldarriaga, Patrick J Keeling, Claudio H Slamovits

Abstract

The alveolates include a large number of important lineages of protists and algae, among which are three major eukaryotic groups: ciliates, apicomplexans and dinoflagellates. Collectively alveolates are present in virtually every environment and include a vast diversity of cell shapes, molecular and cellular features and feeding modes including lifestyles such as phototrophy, phagotrophy/predation and intracellular parasitism, in addition to a variety of symbiotic associations. Oxyrrhis marina is a well-known model for heterotrophic protist biology, and is now emerging as a useful organism to explore the many changes that occurred during the origin and diversification of dinoflagellates by virtue of its phylogenetic position at the base of the dinoflagellate tree.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 3%
Egypt 1 1%
Unknown 64 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 22%
Student > Bachelor 12 18%
Student > Ph. D. Student 11 16%
Student > Master 5 7%
Student > Doctoral Student 4 6%
Other 10 15%
Unknown 10 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 48%
Biochemistry, Genetics and Molecular Biology 7 10%
Environmental Science 7 10%
Computer Science 2 3%
Immunology and Microbiology 2 3%
Other 4 6%
Unknown 13 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 November 2020.
All research outputs
#7,129,741
of 22,743,667 outputs
Outputs from BMC Genomics
#3,375
of 10,633 outputs
Outputs of similar age
#89,635
of 313,026 outputs
Outputs of similar age from BMC Genomics
#156
of 445 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,633 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 67% 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 313,026 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 71% of its contemporaries.
We're also able to compare this research output to 445 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 63% of its contemporaries.