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Crossfit analysis: a novel method to characterize the dynamics of induced plant responses

Overview of attention for article published in BMC Bioinformatics, December 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
64 Mendeley
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1 Connotea
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Title
Crossfit analysis: a novel method to characterize the dynamics of induced plant responses
Published in
BMC Bioinformatics, December 2009
DOI 10.1186/1471-2105-10-425
Pubmed ID
Authors

Jeroen J Jansen, Nicole M van Dam, Huub CJ Hoefsloot, Age K Smilde

Abstract

Many plant species show induced responses that protect them against exogenous attacks. These responses involve the production of many different bioactive compounds. Plant species belonging to the Brassicaceae family produce defensive glucosinolates, which may greatly influence their favorable nutritional properties for humans. Each responding compound may have its own dynamic profile and metabolic relationships with other compounds. The chemical background of the induced response is therefore highly complex and may therefore not reveal all the properties of the response in any single model.

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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 25%
Student > Master 13 20%
Student > Ph. D. Student 11 17%
Researcher 6 9%
Student > Postgraduate 5 8%
Other 9 14%
Unknown 4 6%
Readers by discipline Count As %
Sports and Recreations 19 30%
Agricultural and Biological Sciences 12 19%
Medicine and Dentistry 7 11%
Nursing and Health Professions 4 6%
Chemistry 3 5%
Other 14 22%
Unknown 5 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 22 July 2012.
All research outputs
#3,988,251
of 22,669,724 outputs
Outputs from BMC Bioinformatics
#1,542
of 7,247 outputs
Outputs of similar age
#22,937
of 163,474 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 58 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 163,474 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.