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Deep expression analysis reveals distinct cold-response strategies in rubber tree (Hevea brasiliensis)

Overview of attention for article published in BMC Genomics, June 2019
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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 (77th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
11 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Deep expression analysis reveals distinct cold-response strategies in rubber tree (Hevea brasiliensis)
Published in
BMC Genomics, June 2019
DOI 10.1186/s12864-019-5852-5
Pubmed ID
Authors

Camila Campos Mantello, Lucas Boatwright, Carla Cristina da Silva, Erivaldo Jose Scaloppi, Paulo de Souza Goncalves, W. Brad Barbazuk, Anete Pereira de Souza

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 21%
Other 4 12%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Lecturer > Senior Lecturer 1 3%
Other 3 9%
Unknown 14 41%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 35%
Biochemistry, Genetics and Molecular Biology 4 12%
Environmental Science 1 3%
Social Sciences 1 3%
Unknown 16 47%
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 05 August 2019.
All research outputs
#4,216,324
of 25,082,430 outputs
Outputs from BMC Genomics
#1,592
of 11,154 outputs
Outputs of similar age
#79,211
of 358,698 outputs
Outputs of similar age from BMC Genomics
#32
of 249 outputs
Altmetric has tracked 25,082,430 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,154 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 358,698 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 77% of its contemporaries.
We're also able to compare this research output to 249 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.