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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SeqBreed: a python tool to evaluate genomic prediction in complex scenarios
|
|---|---|
| Published in |
Genetics Selection Evolution, February 2020
|
| DOI | 10.1186/s12711-020-0530-2 |
| Pubmed ID | |
| Authors |
Miguel Pérez-Enciso, Lino C. Ramírez-Ayala, Laura M. Zingaretti |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 15% |
| United Kingdom | 1 | 8% |
| France | 1 | 8% |
| Sweden | 1 | 8% |
| Netherlands | 1 | 8% |
| Unknown | 7 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 5 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 28% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 4 | 8% |
| Professor > Associate Professor | 2 | 4% |
| Professor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 14 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 36% |
| Biochemistry, Genetics and Molecular Biology | 10 | 19% |
| Computer Science | 3 | 6% |
| Social Sciences | 2 | 4% |
| Unspecified | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 16 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 14 February 2020.
All research outputs
#4,811,510
of 25,387,668 outputs
Outputs from Genetics Selection Evolution
#109
of 821 outputs
Outputs of similar age
#109,707
of 475,876 outputs
Outputs of similar age from Genetics Selection Evolution
#6
of 13 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 821 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 86% 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 475,876 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 13 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 53% of its contemporaries.