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The Arabidopsis Kinome: phylogeny and evolutionary insights into functional diversification

Overview of attention for article published in BMC Genomics, July 2014
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

blogs
1 blog
twitter
42 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Readers on

mendeley
120 Mendeley
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Title
The Arabidopsis Kinome: phylogeny and evolutionary insights into functional diversification
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-548
Pubmed ID
Authors

Monika Zulawski, Gunnar Schulze, Rostyslav Braginets, Stefanie Hartmann, Waltraud X Schulze

Abstract

Protein kinases constitute a particularly large protein family in Arabidopsis with important functions in cellular signal transduction networks. At the same time Arabidopsis is a model plant with high frequencies of gene duplications. Here, we have conducted a systematic analysis of the Arabidopsis kinase complement, the kinome, with particular focus on gene duplication events. We matched Arabidopsis proteins to a Hidden-Markov Model of eukaryotic kinases and computed a phylogeny of 942 Arabidopsis protein kinase domains and mapped their origin by gene duplication.

X Demographics

X Demographics

The data shown below were collected from the profiles of 42 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 <1%
United States 1 <1%
Sri Lanka 1 <1%
Unknown 117 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 27%
Researcher 23 19%
Student > Master 14 12%
Student > Bachelor 13 11%
Student > Doctoral Student 5 4%
Other 11 9%
Unknown 22 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 43%
Biochemistry, Genetics and Molecular Biology 33 28%
Business, Management and Accounting 3 3%
Environmental Science 2 2%
Chemistry 2 2%
Other 5 4%
Unknown 23 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 02 July 2017.
All research outputs
#1,148,103
of 24,834,604 outputs
Outputs from BMC Genomics
#180
of 11,083 outputs
Outputs of similar age
#11,188
of 233,114 outputs
Outputs of similar age from BMC Genomics
#4
of 198 outputs
Altmetric has tracked 24,834,604 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,083 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 98% 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 233,114 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 95% of its contemporaries.
We're also able to compare this research output to 198 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.