↓ Skip to main content

A contribution to the study of plant development evolution based on gene co-expression networks

Overview of attention for article published in Frontiers in Plant Science, January 2013
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
79 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A contribution to the study of plant development evolution based on gene co-expression networks
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00291
Pubmed ID
Authors

Francisco J. Romero-Campero, Eva Lucas-Reina, Fatima E. Said, José M. Romero, Federico Valverde

Abstract

Phototrophic eukaryotes are among the most successful organisms on Earth due to their unparalleled efficiency at capturing light energy and fixing carbon dioxide to produce organic molecules. A conserved and efficient network of light-dependent regulatory modules could be at the bases of this success. This regulatory system conferred early advantages to phototrophic eukaryotes that allowed for specialization, complex developmental processes and modern plant characteristics. We have studied light-dependent gene regulatory modules from algae to plants employing integrative-omics approaches based on gene co-expression networks. Our study reveals some remarkably conserved ways in which eukaryotic phototrophs deal with day length and light signaling. Here we describe how a family of Arabidopsis transcription factors involved in photoperiod response has evolved from a single algal gene according to the innovation, amplification and divergence theory of gene evolution by duplication. These modifications of the gene co-expression networks from the ancient unicellular green algae Chlamydomonas reinhardtii to the modern brassica Arabidopsis thaliana may hint on the evolution and specialization of plants and other organisms.

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Switzerland 1 1%
Norway 1 1%
Spain 1 1%
United States 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 20%
Student > Bachelor 14 18%
Student > Ph. D. Student 11 14%
Student > Master 8 10%
Student > Doctoral Student 7 9%
Other 18 23%
Unknown 5 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 59%
Biochemistry, Genetics and Molecular Biology 13 16%
Computer Science 4 5%
Business, Management and Accounting 2 3%
Medicine and Dentistry 2 3%
Other 4 5%
Unknown 7 9%
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 17 June 2014.
All research outputs
#14,756,074
of 22,715,151 outputs
Outputs from Frontiers in Plant Science
#9,123
of 19,953 outputs
Outputs of similar age
#175,325
of 280,748 outputs
Outputs of similar age from Frontiers in Plant Science
#131
of 517 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,953 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 280,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 517 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.