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daTALbase: A Database for Genomic and Transcriptomic Data Related to TAL Effectors.

Overview of attention for article published in Molecular Plant-Microbe Interactions, February 2018
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Article details
Title
daTALbase: A Database for Genomic and Transcriptomic Data Related to TAL Effectors.
Published in
Molecular Plant-Microbe Interactions, February 2018
DOI 10.1094/mpmi-06-17-0153-fi
Pubmed ID
Authors
Abstract

Transcription activator-like effectors (TALEs) are proteins found in the genus Xanthomonas of phytopathogenic bacteria. These proteins enter the nucleus of cells in the host plant and can induce the expression of susceptibility S genes, triggering disease. TALEs bind the promoter region of S genes following a specific code, which allows the prediction of binding sites based on TALEs' amino acid sequence. New candidate susceptibility genes can then be discovered by finding the intersection between genes induced in the presence of TALEs and genes containing predicted effector binding elements (EBEs). By contrasting differential expression data and binding sites predictions across different datasets, patterns of TALE diversification and/or convergence may be unveiled, but this requires the seamless integration of different genomic and transcriptomic data. With this in mind we present daTALbase, a curated relational database that integrates TALE-related data including: bacterial TALE sequences, plant promoter sequences, predicted TALE binding sites, transcriptomic data of host plants in response to TALE-harboring bacteria, and other associated data. The database can be explored to uncover candidate new susceptibility genes, as well as to study variation in TALE repertories and their corresponding targets. The first version of the database here presented includes data for Oryza sp. - Xanthomonas pv. oryzae interactions. Future versions of the database will incorporate information for other pathosystems involving TALEs. daTALbase is accessible at http://bioinfo-web.mpl.ird.fr/cgi-bin2/datalbase/home.cgi.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 29%
Researcher 8 23%
Student > Master 4 11%
Student > Doctoral Student 3 9%
Student > Bachelor 1 3%
Other 1 3%
Unknown 8 23%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 20 57%
Biochemistry, Genetics and Molecular Biology 3 9%
Computer Science 1 3%
Engineering 1 3%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 June 2018.
All research outputs
#9,306,762
of 34,372,222 outputs
Outputs from Molecular Plant-Microbe Interactions
#948
of 2,586 outputs
Outputs of similar age
#134,758
of 499,221 outputs
Outputs of similar age from Molecular Plant-Microbe Interactions
#8
of 30 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,586 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 63% 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 499,221 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 72% of its contemporaries.
We're also able to compare this research output to 30 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 73% of its contemporaries.