| Title |
Siberian larch (Larix sibirica Ledeb.) chloroplast genome and development of polymorphic chloroplast markers
|
|---|---|
| Published in |
BMC Bioinformatics, February 2019
|
| DOI | 10.1186/s12859-018-2571-x |
| Pubmed ID | |
| Authors |
Eugeniya I. Bondar, Yuliya A. Putintseva, Nataliya V. Oreshkova, Konstantin V. Krutovsky |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 22% |
| Researcher | 4 | 17% |
| Student > Master | 3 | 13% |
| Professor | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Arts and Humanities | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 6 | 26% |
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 05 February 2019.
All research outputs
#20,552,296
of 23,128,387 outputs
Outputs from BMC Bioinformatics
#6,910
of 7,335 outputs
Outputs of similar age
#370,131
of 437,501 outputs
Outputs of similar age from BMC Bioinformatics
#168
of 180 outputs
Altmetric has tracked 23,128,387 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 7,335 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 437,501 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 180 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.