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Transcriptome profiling in conifers and the PiceaGenExpress database show patterns of diversification within gene families and interspecific conservation in vascular gene expression

Overview of attention for article published in BMC Genomics, August 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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
2 CiteULike
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Title
Transcriptome profiling in conifers and the PiceaGenExpress database show patterns of diversification within gene families and interspecific conservation in vascular gene expression
Published in
BMC Genomics, August 2012
DOI 10.1186/1471-2164-13-434
Pubmed ID
Authors

Elie Raherison, Philippe Rigault, Sébastien Caron, Pier-Luc Poulin, Brian Boyle, Jukka-Pekka Verta, Isabelle Giguère, Claude Bomal, Jörg Bohlmann, John MacKay

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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 4%
Spain 2 3%
Norway 1 1%
Finland 1 1%
Unknown 63 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 27%
Student > Ph. D. Student 18 26%
Student > Master 7 10%
Professor 6 9%
Student > Bachelor 4 6%
Other 10 14%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 48 69%
Biochemistry, Genetics and Molecular Biology 11 16%
Environmental Science 2 3%
Arts and Humanities 1 1%
Computer Science 1 1%
Other 0 0%
Unknown 7 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 01 September 2012.
All research outputs
#4,474,454
of 25,837,817 outputs
Outputs from BMC Genomics
#1,674
of 11,320 outputs
Outputs of similar age
#31,216
of 189,123 outputs
Outputs of similar age from BMC Genomics
#31
of 173 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,320 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 85% 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 189,123 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 83% of its contemporaries.
We're also able to compare this research output to 173 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.