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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving Genomic Prediction for Seed Quality Traits in Oat (Avena sativa L.) Using Trait-Specific Relationship Matrices
|
|---|---|
| Published in |
Frontiers in Genetics, March 2021
|
| DOI | 10.3389/fgene.2021.643733 |
| Pubmed ID | |
| Authors |
Malachy T. Campbell, Haixiao Hu, Trevor H. Yeats, Lauren J. Brzozowski, Melanie Caffe-Treml, Lucía Gutiérrez, Kevin P. Smith, Mark E. Sorrells, Michael A. Gore, Jean-Luc Jannink |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Zimbabwe | 1 | 13% |
| Switzerland | 1 | 13% |
| United Kingdom | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 2 | 8% |
| Lecturer | 2 | 8% |
| Researcher | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 46% |
| Unspecified | 1 | 4% |
| Computer Science | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Unknown | 10 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 May 2021.
All research outputs
#6,912,401
of 23,308,124 outputs
Outputs from Frontiers in Genetics
#2,099
of 12,328 outputs
Outputs of similar age
#151,464
of 431,907 outputs
Outputs of similar age from Frontiers in Genetics
#90
of 487 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 12,328 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% 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 431,907 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 64% of its contemporaries.
We're also able to compare this research output to 487 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.