↓ Skip to main content

Quantitative phosphoproteomic profiling of fiber differentiation and initiation in a fiberless mutant of cotton

Overview of attention for article published in BMC Genomics, June 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
34 Dimensions

Readers on

mendeley
28 Mendeley
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
Quantitative phosphoproteomic profiling of fiber differentiation and initiation in a fiberless mutant of cotton
Published in
BMC Genomics, June 2014
DOI 10.1186/1471-2164-15-466
Pubmed ID
Authors

Qifeng Ma, Man Wu, Wenfeng Pei, Haijing Li, Xingli Li, Jinfa Zhang, Jiwen Yu, Shuxun Yu

Abstract

The cotton (Gossypium spp.) fiber cell is an important unicellular model for studying cell differentiation. There is evidence suggesting that phosphorylation is a critical post-translational modification involved in regulation of a wide range of cell activities. Nevertheless, the sites of phosphorylation in G. hirsutum and their regulatory roles in fiber cell initiation are largely unknown. In this study, we employed a mass spectrometry-based phosphoproteomics to conduct a global and site-specific phosphoproteome profiling between ovules of a fuzzless-lintless (fl) Upland cotton (G. hirsutum) mutant and its isogenic parental wild type (WT) at -3 and 0 days post-anthesis (DPA).

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 21%
Researcher 4 14%
Student > Bachelor 2 7%
Professor 2 7%
Professor > Associate Professor 2 7%
Other 5 18%
Unknown 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 43%
Biochemistry, Genetics and Molecular Biology 4 14%
Engineering 2 7%
Computer Science 2 7%
Arts and Humanities 1 4%
Other 1 4%
Unknown 6 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 January 2015.
All research outputs
#20,252,875
of 22,782,096 outputs
Outputs from BMC Genomics
#9,271
of 10,646 outputs
Outputs of similar age
#193,403
of 228,735 outputs
Outputs of similar age from BMC Genomics
#168
of 207 outputs
Altmetric has tracked 22,782,096 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,646 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 228,735 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.