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Gene regulation network analyses of pistil development in papaya

Overview of attention for article published in BMC Genomics, January 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
21 Mendeley
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Title
Gene regulation network analyses of pistil development in papaya
Published in
BMC Genomics, January 2022
DOI 10.1186/s12864-021-08197-7
Pubmed ID
Authors

Zhenyang Liao, Fei Dong, Juan Liu, Lele Xu, Amy Marshall-Colon, Ray Ming

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

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Ph. D. Student 4 19%
Student > Bachelor 1 5%
Other 1 5%
Researcher 1 5%
Other 0 0%
Unknown 9 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 33%
Biochemistry, Genetics and Molecular Biology 3 14%
Computer Science 1 5%
Medicine and Dentistry 1 5%
Unknown 9 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2022.
All research outputs
#13,442,631
of 22,818,766 outputs
Outputs from BMC Genomics
#4,998
of 10,653 outputs
Outputs of similar age
#211,223
of 499,766 outputs
Outputs of similar age from BMC Genomics
#66
of 169 outputs
Altmetric has tracked 22,818,766 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,653 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 50% 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 499,766 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 55% of its contemporaries.
We're also able to compare this research output to 169 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 59% of its contemporaries.