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Functional genomics of a generalist parasitic plant: Laser microdissection of host-parasite interface reveals host-specific patterns of parasite gene expression

Overview of attention for article published in BMC Plant Biology, January 2013
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  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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3 tweeters

Citations

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40 Dimensions

Readers on

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110 Mendeley
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Title
Functional genomics of a generalist parasitic plant: Laser microdissection of host-parasite interface reveals host-specific patterns of parasite gene expression
Published in
BMC Plant Biology, January 2013
DOI 10.1186/1471-2229-13-9
Pubmed ID
Authors

Loren A Honaas, Eric K Wafula, Zhenzhen Yang, Joshua P Der, Norman J Wickett, Naomi S Altman, Christopher G Taylor, John I Yoder, Michael P Timko, James H Westwood, Claude W dePamphilis

Abstract

Orobanchaceae is the only plant family with members representing the full range of parasitic lifestyles plus a free-living lineage sister to all parasitic lineages, Lindenbergia. A generalist member of this family, and an important parasitic plant model, Triphysaria versicolor regularly feeds upon a wide range of host plants. Here, we compare de novo assembled transcriptomes generated from laser micro-dissected tissues at the host-parasite interface to uncover details of the largely uncharacterized interaction between parasitic plants and their hosts.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
South Africa 1 <1%
Brazil 1 <1%
Canada 1 <1%
Mexico 1 <1%
Netherlands 1 <1%
Unknown 103 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 25%
Student > Master 21 19%
Researcher 21 19%
Student > Bachelor 10 9%
Other 7 6%
Other 19 17%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 75%
Biochemistry, Genetics and Molecular Biology 14 13%
Engineering 2 2%
Environmental Science 1 <1%
Computer Science 1 <1%
Other 2 2%
Unknown 8 7%

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 10 January 2013.
All research outputs
#2,123,514
of 4,507,211 outputs
Outputs from BMC Plant Biology
#262
of 776 outputs
Outputs of similar age
#127,969
of 283,936 outputs
Outputs of similar age from BMC Plant Biology
#16
of 36 outputs
Altmetric has tracked 4,507,211 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 776 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 60% 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 283,936 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 50% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.