The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Genomic Prediction Accuracy Using Haplotypes Defined by Size and Hierarchical Clustering Based on Linkage Disequilibrium
|
---|---|
Published in |
Frontiers in Genetics, March 2020
|
DOI | 10.3389/fgene.2020.00134 |
Pubmed ID | |
Authors |
Sohyoung Won, Jong-Eun Park, Ju-Hwan Son, Seung-Hwan Lee, Byeong Ho Park, Mina Park, Won-Chul Park, Han-Ha Chai, Heebal Kim, Jungjae Lee, Dajeong Lim |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 52 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 23% |
Student > Ph. D. Student | 8 | 15% |
Student > Master | 5 | 10% |
Student > Bachelor | 4 | 8% |
Student > Doctoral Student | 3 | 6% |
Other | 4 | 8% |
Unknown | 16 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 24 | 46% |
Biochemistry, Genetics and Molecular Biology | 4 | 8% |
Medicine and Dentistry | 2 | 4% |
Computer Science | 1 | 2% |
Engineering | 1 | 2% |
Other | 0 | 0% |
Unknown | 20 | 38% |
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 28 March 2020.
All research outputs
#14,944,925
of 23,199,478 outputs
Outputs from Frontiers in Genetics
#4,520
of 12,236 outputs
Outputs of similar age
#208,786
of 362,404 outputs
Outputs of similar age from Frontiers in Genetics
#124
of 387 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,236 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 362,404 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 387 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 66% of its contemporaries.