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Quantitative Interactor Screening with next-generation Sequencing (QIS-Seq) identifies Arabidopsis thaliana MLO2 as a target of the Pseudomonas syringae type III effector HopZ2

Overview of attention for article published in BMC Genomics, January 2012
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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2 X users
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2 patents

Citations

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75 Dimensions

Readers on

mendeley
112 Mendeley
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1 CiteULike
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Title
Quantitative Interactor Screening with next-generation Sequencing (QIS-Seq) identifies Arabidopsis thaliana MLO2 as a target of the Pseudomonas syringae type III effector HopZ2
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-8
Pubmed ID
Authors

Jennifer D Lewis, Janet Wan, Rachel Ford, Yunchen Gong, Pauline Fung, Hardeep Nahal, Pauline W Wang, Darrell Desveaux, David S Guttman

Abstract

Identification of protein-protein interactions is a fundamental aspect of understanding protein function. A commonly used method for identifying protein interactions is the yeast two-hybrid system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Bangladesh 1 <1%
France 1 <1%
Brazil 1 <1%
Romania 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 30%
Student > Ph. D. Student 33 29%
Student > Master 13 12%
Student > Bachelor 6 5%
Professor 5 4%
Other 15 13%
Unknown 6 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 65%
Biochemistry, Genetics and Molecular Biology 20 18%
Unspecified 2 2%
Computer Science 2 2%
Nursing and Health Professions 2 2%
Other 4 4%
Unknown 9 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 11 June 2020.
All research outputs
#4,317,329
of 23,416,487 outputs
Outputs from BMC Genomics
#1,777
of 10,766 outputs
Outputs of similar age
#36,227
of 245,748 outputs
Outputs of similar age from BMC Genomics
#45
of 290 outputs
Altmetric has tracked 23,416,487 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,766 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 245,748 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 84% of its contemporaries.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.