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Polysome profiling reveals translational control of gene expression in the human malaria parasite Plasmodium falciparum

Overview of attention for article published in Genome Biology, November 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
6 news outlets
twitter
2 X users
googleplus
1 Google+ user

Citations

dimensions_citation
131 Dimensions

Readers on

mendeley
145 Mendeley
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Title
Polysome profiling reveals translational control of gene expression in the human malaria parasite Plasmodium falciparum
Published in
Genome Biology, November 2013
DOI 10.1186/gb-2013-14-11-r128
Pubmed ID
Authors

Evelien M Bunnik, Duk-Won Doug Chung, Michael Hamilton, Nadia Ponts, Anita Saraf, Jacques Prudhomme, Laurence Florens, Karine G Le Roch

Abstract

In eukaryotic organisms, gene expression is regulated at multiple levels during the processes of transcription and translation. The absence of a tight regulatory network for transcription in the human malaria parasite suggests that gene expression may largely be controlled at post-transcriptional and translational levels.

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 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 2 1%
Netherlands 1 <1%
India 1 <1%
Spain 1 <1%
Russia 1 <1%
Unknown 137 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 34%
Researcher 25 17%
Student > Master 12 8%
Student > Postgraduate 11 8%
Student > Doctoral Student 9 6%
Other 23 16%
Unknown 15 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 40%
Biochemistry, Genetics and Molecular Biology 51 35%
Medicine and Dentistry 4 3%
Immunology and Microbiology 3 2%
Computer Science 2 1%
Other 11 8%
Unknown 16 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 12 May 2015.
All research outputs
#936,876
of 25,374,647 outputs
Outputs from Genome Biology
#652
of 4,467 outputs
Outputs of similar age
#9,630
of 315,300 outputs
Outputs of similar age from Genome Biology
#9
of 78 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 85% 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 315,300 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 96% of its contemporaries.
We're also able to compare this research output to 78 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.