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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 (78th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
12 tweeters

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
28 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

Twitter Demographics

The data shown below were collected from the profiles of 12 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Other 4 14%
Student > Ph. D. Student 3 11%
Researcher 2 7%
Professor 1 4%
Other 3 11%
Unknown 9 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 39%
Biochemistry, Genetics and Molecular Biology 4 14%
Environmental Science 1 4%
Social Sciences 1 4%
Unknown 11 39%

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 06 August 2019.
All research outputs
#2,333,405
of 15,606,530 outputs
Outputs from BMC Genomics
#1,069
of 8,766 outputs
Outputs of similar age
#56,318
of 267,278 outputs
Outputs of similar age from BMC Genomics
#3
of 22 outputs
Altmetric has tracked 15,606,530 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,766 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 267,278 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 78% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.