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High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening

Overview of attention for article published in Nature Communications, January 2018
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
8 news outlets
blogs
3 blogs
twitter
70 X users
facebook
3 Facebook pages
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
252 Dimensions

Readers on

mendeley
395 Mendeley
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Title
High-resolution spatiotemporal transcriptome mapping of tomato fruit development and ripening
Published in
Nature Communications, January 2018
DOI 10.1038/s41467-017-02782-9
Pubmed ID
Authors

Yoshihito Shinozaki, Philippe Nicolas, Noe Fernandez-Pozo, Qiyue Ma, Daniel J. Evanich, Yanna Shi, Yimin Xu, Yi Zheng, Stephen I. Snyder, Laetitia B. B. Martin, Eliel Ruiz-May, Theodore W. Thannhauser, Kunsong Chen, David S. Domozych, Carmen Catalá, Zhangjun Fei, Lukas A. Mueller, James J. Giovannoni, Jocelyn K. C. Rose

Abstract

Tomato (Solanum lycopersicum) is an established model for studying fruit biology; however, most studies of tomato fruit growth and ripening are based on homogenized pericarp, and do not consider the internal tissues, or the expression signatures of individual cell and tissue types. We present a spatiotemporally resolved transcriptome analysis of tomato fruit ontogeny, using laser microdissection (LM) or hand dissection coupled with RNA-Seq analysis. Regulatory and structural gene networks, including families of transcription factors and hormone synthesis and signaling pathways, are defined across tissue and developmental spectra. The ripening program is revealed as comprising gradients of gene expression, initiating in internal tissues then radiating outward, and basipetally along a latitudinal axis. We also identify spatial variations in the patterns of epigenetic control superimposed on ripening gradients. Functional studies elucidate previously masked regulatory phenomena and relationships, including those associated with fruit quality traits, such as texture, color, aroma, and metabolite profiles.

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 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 395 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 395 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 16%
Researcher 63 16%
Student > Master 43 11%
Student > Doctoral Student 28 7%
Student > Bachelor 26 7%
Other 56 14%
Unknown 115 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 180 46%
Biochemistry, Genetics and Molecular Biology 57 14%
Unspecified 4 1%
Immunology and Microbiology 4 1%
Computer Science 3 <1%
Other 21 5%
Unknown 126 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 116. 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 November 2022.
All research outputs
#358,727
of 25,335,657 outputs
Outputs from Nature Communications
#5,639
of 56,229 outputs
Outputs of similar age
#8,431
of 454,382 outputs
Outputs of similar age from Nature Communications
#132
of 1,216 outputs
Altmetric has tracked 25,335,657 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 56,229 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.8. This one has done well, scoring higher than 89% 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 454,382 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 98% of its contemporaries.
We're also able to compare this research output to 1,216 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.