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Transcriptome Analysis of the Model Protozoan, Tetrahymena thermophila, Using Deep RNA Sequencing

Overview of attention for article published in PLOS ONE, February 2012
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 blog
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101 Mendeley
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Title
Transcriptome Analysis of the Model Protozoan, Tetrahymena thermophila, Using Deep RNA Sequencing
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0030630
Pubmed ID
Authors

Jie Xiong, Xingyi Lu, Zhemin Zhou, Yue Chang, Dongxia Yuan, Miao Tian, Zhigang Zhou, Lei Wang, Chengjie Fu, Eduardo Orias, Wei Miao

Abstract

The ciliated protozoan Tetrahymena thermophila is a well-studied single-celled eukaryote model organism for cellular and molecular biology. However, the lack of extensive T. thermophila cDNA libraries or a large expressed sequence tag (EST) database limited the quality of the original genome annotation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 3%
Switzerland 1 <1%
Italy 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 92 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 28%
Student > Ph. D. Student 26 26%
Student > Master 8 8%
Student > Bachelor 7 7%
Professor > Associate Professor 6 6%
Other 13 13%
Unknown 13 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 53 52%
Biochemistry, Genetics and Molecular Biology 19 19%
Computer Science 4 4%
Environmental Science 3 3%
Medicine and Dentistry 2 2%
Other 4 4%
Unknown 16 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 February 2022.
All research outputs
#3,984,130
of 23,103,436 outputs
Outputs from PLOS ONE
#58,493
of 197,133 outputs
Outputs of similar age
#35,004
of 249,284 outputs
Outputs of similar age from PLOS ONE
#646
of 3,416 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197,133 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 70% 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 249,284 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 85% of its contemporaries.
We're also able to compare this research output to 3,416 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.