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Genetic basis for phenotypic differences between different Toxoplasma gondii type I strains

Overview of attention for article published in BMC Genomics, July 2013
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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Citations

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Title
Genetic basis for phenotypic differences between different Toxoplasma gondii type I strains
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-467
Pubmed ID
Authors

Ninghan Yang, Andrew Farrell, Wendy Niedelman, Mariane Melo, Diana Lu, Lindsay Julien, Gabor T Marth, Marc-Jan Gubbels, Jeroen PJ Saeij

Abstract

Toxoplasma gondii has a largely clonal population in North America and Europe, with types I, II and III clonal lineages accounting for the majority of strains isolated from patients. RH, a particular type I strain, is most frequently used to characterize Toxoplasma biology. However, compared to other type I strains, RH has unique characteristics such as faster growth, increased extracellular survival rate and inability to form orally infectious cysts. Thus, to identify candidate genes that could account for these parasite phenotypic differences, we determined genetic differences and differential parasite gene expression between RH and another type I strain, GT1. Moreover, as differences in host cell modulation could affect Toxoplasma replication in the host, we determined differentially modulated host processes among the type I strains through host transcriptional profiling.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 83 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 32%
Researcher 14 17%
Student > Doctoral Student 8 10%
Student > Master 6 7%
Student > Bachelor 5 6%
Other 9 11%
Unknown 15 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 37%
Biochemistry, Genetics and Molecular Biology 19 23%
Immunology and Microbiology 11 13%
Medicine and Dentistry 2 2%
Unspecified 1 1%
Other 2 2%
Unknown 18 21%
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 27 July 2013.
All research outputs
#7,622,789
of 23,881,329 outputs
Outputs from BMC Genomics
#3,541
of 10,793 outputs
Outputs of similar age
#63,664
of 196,783 outputs
Outputs of similar age from BMC Genomics
#38
of 120 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,793 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 66% 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 196,783 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 66% of its contemporaries.
We're also able to compare this research output to 120 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 69% of its contemporaries.