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De novo transcriptome sequencing of Impatiens uliginosa and the analysis of candidate genes related to spur development

Overview of attention for article published in BMC Plant Biology, December 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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2 X users

Readers on

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2 Mendeley
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Title
De novo transcriptome sequencing of Impatiens uliginosa and the analysis of candidate genes related to spur development
Published in
BMC Plant Biology, December 2022
DOI 10.1186/s12870-022-03894-1
Pubmed ID
Authors

Yang Li, Chun-Mei Wei, Xin-Yi Li, Dan-Chen Meng, Zhi-Jia Gu, Su-Ping Qu, Mei-Juan Huang, Hai-Quan Huang

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 50%
Unknown 1 50%
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 02 December 2022.
All research outputs
#15,103,730
of 23,243,271 outputs
Outputs from BMC Plant Biology
#1,282
of 3,308 outputs
Outputs of similar age
#217,463
of 440,976 outputs
Outputs of similar age from BMC Plant Biology
#21
of 112 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,308 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 55% 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 440,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 112 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.