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Dual species transcript profiling during the interaction between banana (Musa acuminata) and the fungal pathogen Fusarium oxysporum f. sp. cubense

Overview of attention for article published in BMC Genomics, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
5 tweeters

Readers on

mendeley
6 Mendeley
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Title
Dual species transcript profiling during the interaction between banana (Musa acuminata) and the fungal pathogen Fusarium oxysporum f. sp. cubense
Published in
BMC Genomics, June 2019
DOI 10.1186/s12864-019-5902-z
Pubmed ID
Authors

Wenbin Li, Xiaolin Wang, Chunqiang Li, Jianbo Sun, Shuxia Li, Ming Peng

Twitter Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Doctoral Student 2 33%
Researcher 1 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 83%
Biochemistry, Genetics and Molecular Biology 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 September 2019.
All research outputs
#6,894,923
of 13,663,325 outputs
Outputs from BMC Genomics
#3,098
of 7,956 outputs
Outputs of similar age
#99,881
of 250,155 outputs
Outputs of similar age from BMC Genomics
#6
of 16 outputs
Altmetric has tracked 13,663,325 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,956 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 60% 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 250,155 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 59% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.