| Title |
RNA-Seq analysis of soft rush (Juncus effusus): transcriptome sequencing, de novo assembly, annotation, and polymorphism identification
|
|---|---|
| Published in |
BMC Genomics, June 2019
|
| DOI | 10.1186/s12864-019-5886-8 |
| Pubmed ID | |
| Authors |
Muhammad Arslan, Upendra Kumar Devisetty, Martin Porsch, Ivo Große, Jochen A. Müller, Stefan G. Michalski |
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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 15% |
| Student > Bachelor | 5 | 13% |
| Researcher | 5 | 13% |
| Student > Master | 4 | 10% |
| Student > Postgraduate | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 15 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 10 | 25% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Environmental Science | 2 | 5% |
| Computer Science | 2 | 5% |
| Engineering | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 17 | 43% |
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 2019.
All research outputs
#20,573,484
of 23,150,406 outputs
Outputs from BMC Genomics
#9,328
of 10,712 outputs
Outputs of similar age
#301,041
of 353,827 outputs
Outputs of similar age from BMC Genomics
#209
of 248 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,712 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% 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 353,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.