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An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora

Overview of attention for article published in BMC Plant Biology, February 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 3,624)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
8 news outlets
twitter
9 X users

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
178 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora
Published in
BMC Plant Biology, February 2011
DOI 10.1186/1471-2229-11-30
Pubmed ID
Authors

Jorge MC Mondego, Ramon O Vidal, Marcelo F Carazzolle, Eric K Tokuda, Lucas P Parizzi, Gustavo GL Costa, Luiz FP Pereira, Alan C Andrade, Carlos A Colombo, Luiz GE Vieira, Gonçalo AG Pereira, Brazilian Coffee Genome Project Consortium

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 6 3%
Mexico 2 1%
Indonesia 1 <1%
Netherlands 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 166 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 21%
Student > Master 28 16%
Student > Ph. D. Student 25 14%
Student > Bachelor 20 11%
Student > Postgraduate 16 9%
Other 36 20%
Unknown 16 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 112 63%
Biochemistry, Genetics and Molecular Biology 24 13%
Engineering 7 4%
Chemistry 3 2%
Environmental Science 2 1%
Other 11 6%
Unknown 19 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 64. 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 28 December 2022.
All research outputs
#681,368
of 25,830,657 outputs
Outputs from BMC Plant Biology
#14
of 3,624 outputs
Outputs of similar age
#2,926
of 197,105 outputs
Outputs of similar age from BMC Plant Biology
#1
of 17 outputs
Altmetric has tracked 25,830,657 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,624 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% 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 197,105 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.