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Deep mRNA sequencing reveals stage-specific transcriptome alterations during microsclerotia development in the smoke tree vascular wilt pathogen, Verticillium dahliae

Overview of attention for article published in BMC Genomics, May 2014
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  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

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46 Dimensions

Readers on

mendeley
48 Mendeley
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Title
Deep mRNA sequencing reveals stage-specific transcriptome alterations during microsclerotia development in the smoke tree vascular wilt pathogen, Verticillium dahliae
Published in
BMC Genomics, May 2014
DOI 10.1186/1471-2164-15-324
Pubmed ID
Authors

Dianguang Xiong, Yonglin Wang, Jie Ma, Steven J Klosterman, Shuxiao Xiao, Chengming Tian

Abstract

Verticillium dahliae is a soil-borne fungus that causes vascular wilt diseases in a wide range of plant hosts. V. dahliae produces multicelled, melanized resting bodies, also known as microsclerotia (MS) that can survive for years in the soil. The MS are the primary source of infection of the Verticillium disease cycle. Thus, MS formation marks an important event in the disease cycle of V. dahliae.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 42%
Researcher 11 23%
Student > Bachelor 3 6%
Student > Postgraduate 2 4%
Student > Master 2 4%
Other 5 10%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 67%
Biochemistry, Genetics and Molecular Biology 8 17%
Immunology and Microbiology 1 2%
Social Sciences 1 2%
Engineering 1 2%
Other 0 0%
Unknown 5 10%

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 15 May 2014.
All research outputs
#7,774,717
of 13,847,329 outputs
Outputs from BMC Genomics
#3,946
of 8,123 outputs
Outputs of similar age
#80,664
of 189,566 outputs
Outputs of similar age from BMC Genomics
#5
of 8 outputs
Altmetric has tracked 13,847,329 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 48th percentile – i.e., 48% 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 189,566 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.