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Tell Me a Tale of TALEs

Overview of attention for article published in Molecular Biotechnology, November 2012
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2 X users

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111 Mendeley
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1 CiteULike
Title
Tell Me a Tale of TALEs
Published in
Molecular Biotechnology, November 2012
DOI 10.1007/s12033-012-9619-3
Pubmed ID
Authors

Alejandra Muñoz Bodnar, Adriana Bernal, Boris Szurek, Camilo E. López

Abstract

Pathogenic bacteria of the Xanthomonas and Ralstonia genus have developed resourceful strategies creating a favorable environment to multiply and colonize their host plants. One of these strategies involves the secretion and translocation of several families of effector proteins into the host cell. The transcription activator-like effector (TALE) family forms a subset of proteins involved in the direct modulation of host gene expression. TALEs include a number of tandem 34-amino acid repeats in their central part, where specific residues variable in two adjacent positions determine DNA-binding in the host genome. The specificity of this binding and its predictable nature make TALEs a revolutionary tool for gene editing, functional analysis, modification of target gene expression, and directed mutagenesis. Several examples have been reported in higher organisms as diverse as plants, Drosophila, zebrafish, mouse, and even human cells. Here, we summarize the functions of TALEs in their natural context and the biotechnological perspectives of their use.

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

Geographical breakdown

Country Count As %
Japan 2 2%
France 1 <1%
Portugal 1 <1%
Paraguay 1 <1%
United States 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Ph. D. Student 22 20%
Student > Bachelor 14 13%
Student > Master 12 11%
Student > Doctoral Student 6 5%
Other 20 18%
Unknown 14 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 67%
Biochemistry, Genetics and Molecular Biology 13 12%
Medicine and Dentistry 2 2%
Arts and Humanities 1 <1%
Chemical Engineering 1 <1%
Other 4 4%
Unknown 16 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 December 2012.
All research outputs
#14,154,868
of 22,684,168 outputs
Outputs from Molecular Biotechnology
#600
of 953 outputs
Outputs of similar age
#106,792
of 184,149 outputs
Outputs of similar age from Molecular Biotechnology
#8
of 9 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 953 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 184,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.