| Title |
A high-quality cucumber genome assembly enhances computational comparative genomics
|
|---|---|
| Published in |
Molecular Genetics and Genomics, October 2019
|
| DOI | 10.1007/s00438-019-01614-3 |
| Pubmed ID | |
| Authors |
Paweł Osipowski, Magdalena Pawełkowicz, Michał Wojcieszek, Agnieszka Skarzyńska, Zbigniew Przybecki, Wojciech Pląder |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 21% |
| Student > Doctoral Student | 3 | 9% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Researcher | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 14 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 8 | 24% |
| Biochemistry, Genetics and Molecular Biology | 7 | 21% |
| Computer Science | 3 | 9% |
| Economics, Econometrics and Finance | 1 | 3% |
| Social Sciences | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 39% |
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 17 October 2019.
All research outputs
#17,295,853
of 25,387,668 outputs
Outputs from Molecular Genetics and Genomics
#2,753
of 3,321 outputs
Outputs of similar age
#233,234
of 368,732 outputs
Outputs of similar age from Molecular Genetics and Genomics
#6
of 15 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,321 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 13th percentile – i.e., 13% 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 368,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.