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Quantitative multiplex detection of plant pathogens using a novel ligation probe-based system coupled with universal, high-throughput real-time PCR on OpenArrays™

Overview of attention for article published in BMC Genomics, August 2007
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
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Title
Quantitative multiplex detection of plant pathogens using a novel ligation probe-based system coupled with universal, high-throughput real-time PCR on OpenArrays™
Published in
BMC Genomics, August 2007
DOI 10.1186/1471-2164-8-276
Pubmed ID
Authors

Ronald van Doorn, Marianna Szemes, Peter Bonants, George A Kowalchuk, Joana F Salles, Elen Ortenberg, Cor D Schoen

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Indonesia 1 2%
Kenya 1 2%
Israel 1 2%
Canada 1 2%
United States 1 2%
Unknown 59 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 29%
Researcher 19 29%
Other 4 6%
Student > Master 4 6%
Student > Doctoral Student 4 6%
Other 11 17%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 43 66%
Biochemistry, Genetics and Molecular Biology 6 9%
Medicine and Dentistry 3 5%
Chemistry 2 3%
Environmental Science 2 3%
Other 4 6%
Unknown 5 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 November 2013.
All research outputs
#3,577,608
of 12,373,620 outputs
Outputs from BMC Genomics
#2,328
of 7,296 outputs
Outputs of similar age
#93,650
of 257,137 outputs
Outputs of similar age from BMC Genomics
#3
of 16 outputs
Altmetric has tracked 12,373,620 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 7,296 research outputs from this source. They receive a mean Attention Score of 4.3. 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 257,137 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 61% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.