↓ Skip to main content

Long-read sequencing-based transcriptomic landscape in longissimus dorsi and transcriptome-wide association studies for growth traits of meat rabbits

Overview of attention for article published in Frontiers in Veterinary Science, January 2024
Altmetric Badge

Mentioned by

twitter
2 X users
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Long-read sequencing-based transcriptomic landscape in longissimus dorsi and transcriptome-wide association studies for growth traits of meat rabbits
Published in
Frontiers in Veterinary Science, January 2024
DOI 10.3389/fvets.2024.1320484
Pubmed ID
Authors

Xianbo Jia, Zhe Kang, Guozhi Wang, Kai Zhang, Xiangchao Fu, Congyan Li, Songjia Lai, Shi-Yi Chen

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.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 February 2024.
All research outputs
#20,603,154
of 25,315,460 outputs
Outputs from Frontiers in Veterinary Science
#5,188
of 7,986 outputs
Outputs of similar age
#136,797
of 198,672 outputs
Outputs of similar age from Frontiers in Veterinary Science
#124
of 253 outputs
Altmetric has tracked 25,315,460 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,986 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 198,672 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 253 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.