↓ Skip to main content

Genome-wide association studies detects candidate genes for wool traits by re-sequencing in Chinese fine-wool sheep

Overview of attention for article published in BMC Genomics, February 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
23 Mendeley
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
Genome-wide association studies detects candidate genes for wool traits by re-sequencing in Chinese fine-wool sheep
Published in
BMC Genomics, February 2021
DOI 10.1186/s12864-021-07399-3
Pubmed ID
Authors

Hongchang Zhao, Tingting Guo, Zengkui Lu, Jianbin Liu, Shaohua Zhu, Guoyan Qiao, Mei Han, Chao Yuan, Tianxiang Wang, Fanwen Li, Yajun Zhang, Fujun Hou, Yaojing Yue, Bohui Yang

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Student > Master 2 9%
Professor 1 4%
Other 1 4%
Unknown 11 48%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 22%
Medicine and Dentistry 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Engineering 1 4%
Unknown 14 61%
Attention Score in Context

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 26 January 2023.
All research outputs
#7,668,321
of 23,340,595 outputs
Outputs from BMC Genomics
#3,677
of 10,745 outputs
Outputs of similar age
#170,207
of 420,764 outputs
Outputs of similar age from BMC Genomics
#67
of 175 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,745 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 58% 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 420,764 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 56% of its contemporaries.
We're also able to compare this research output to 175 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 61% of its contemporaries.