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Label free proteomics and systematic analysis of secretome reveals effector candidates regulated by SGE1 and FTF1 in the plant pathogen Fusarium oxysporum f. sp. cubense tropical race 4

Overview of attention for article published in BMC Genomics, April 2020
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Mentioned by

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1 X user

Citations

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19 Dimensions

Readers on

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30 Mendeley
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Title
Label free proteomics and systematic analysis of secretome reveals effector candidates regulated by SGE1 and FTF1 in the plant pathogen Fusarium oxysporum f. sp. cubense tropical race 4
Published in
BMC Genomics, April 2020
DOI 10.1186/s12864-020-6695-9
Pubmed ID
Authors

Shixue Zhao, Bang An, Yanhua Guo, Xingrong Hou, Hongli Luo, Chaozu He, Qiannan Wang

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

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Unspecified 3 10%
Researcher 3 10%
Student > Bachelor 3 10%
Student > Doctoral Student 2 7%
Other 2 7%
Unknown 13 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 37%
Unspecified 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Business, Management and Accounting 1 3%
Unknown 13 43%
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 20 November 2020.
All research outputs
#18,771,452
of 23,263,851 outputs
Outputs from BMC Genomics
#8,239
of 10,735 outputs
Outputs of similar age
#279,273
of 372,190 outputs
Outputs of similar age from BMC Genomics
#102
of 160 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,735 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% 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 372,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.