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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving Industrially Relevant Phenotypic Traits by Engineering Chromosome Copy Number in Saccharomyces pastorianus
|
|---|---|
| Published in |
Frontiers in Genetics, June 2020
|
| DOI | 10.3389/fgene.2020.00518 |
| Pubmed ID | |
| Authors |
Arthur R. Gorter de Vries, Ewout Knibbe, Roderick van Roosmalen, Marcel van den Broek, Pilar de la Torre Cortés, Stephanie F. O’Herne, Pascal A. Vijverberg, Anissa el Masoudi, Nick Brouwers, Jack T. Pronk, Jean-Marc G. Daran |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 30% |
| Researcher | 7 | 19% |
| Student > Ph. D. Student | 4 | 11% |
| Professor > Associate Professor | 2 | 5% |
| Student > Master | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 32% |
| Biochemistry, Genetics and Molecular Biology | 8 | 22% |
| Immunology and Microbiology | 4 | 11% |
| Engineering | 3 | 8% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 8 | 22% |
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 15 June 2020.
All research outputs
#18,065,967
of 23,213,531 outputs
Outputs from Frontiers in Genetics
#6,205
of 12,247 outputs
Outputs of similar age
#284,162
of 398,262 outputs
Outputs of similar age from Frontiers in Genetics
#217
of 391 outputs
Altmetric has tracked 23,213,531 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,247 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 40th percentile – i.e., 40% 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 398,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 391 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.