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Rapid transcriptome characterization and parsing of sequences in a non-model host-pathogen interaction; pea-Sclerotinia sclerotiorum

Overview of attention for article published in BMC Genomics, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
2 CiteULike
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Title
Rapid transcriptome characterization and parsing of sequences in a non-model host-pathogen interaction; pea-Sclerotinia sclerotiorum
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-668
Pubmed ID
Authors

Xiaofeng Zhuang, Kevin E McPhee, Tristan E Coram, Tobin L Peever, Martin I Chilvers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 4%
Chile 1 1%
India 1 1%
Brazil 1 1%
Mexico 1 1%
Czechia 1 1%
Unknown 59 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 28%
Researcher 15 22%
Student > Master 10 15%
Student > Doctoral Student 6 9%
Professor > Associate Professor 3 4%
Other 7 10%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 73%
Biochemistry, Genetics and Molecular Biology 4 6%
Medicine and Dentistry 3 4%
Mathematics 1 1%
Arts and Humanities 1 1%
Other 1 1%
Unknown 8 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 August 2017.
All research outputs
#1,937,021
of 11,590,856 outputs
Outputs from BMC Genomics
#1,158
of 6,928 outputs
Outputs of similar age
#66,980
of 257,122 outputs
Outputs of similar age from BMC Genomics
#28
of 110 outputs
Altmetric has tracked 11,590,856 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,928 research outputs from this source. They receive a mean Attention Score of 4.2. 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 257,122 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 73% of its contemporaries.
We're also able to compare this research output to 110 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 74% of its contemporaries.