| Title |
Multi-CSAR: a multiple reference-based contig scaffolder using algebraic rearrangements
|
|---|---|
| Published in |
BMC Systems Biology, December 2018
|
| DOI | 10.1186/s12918-018-0654-y |
| Pubmed ID | |
| Authors |
Kun-Tze Chen, Hsin-Ting Shen, Chin Lung Lu |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 14% |
| Poland | 1 | 14% |
| New Zealand | 1 | 14% |
| Latvia | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 42% |
| Student > Bachelor | 2 | 8% |
| Professor > Associate Professor | 2 | 8% |
| Student > Ph. D. Student | 1 | 4% |
| Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 29% |
| Agricultural and Biological Sciences | 7 | 29% |
| Computer Science | 1 | 4% |
| Neuroscience | 1 | 4% |
| Unknown | 8 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 13 January 2019.
All research outputs
#2,933,556
of 23,577,761 outputs
Outputs from BMC Systems Biology
#80
of 1,143 outputs
Outputs of similar age
#68,273
of 440,077 outputs
Outputs of similar age from BMC Systems Biology
#3
of 54 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,143 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 92% 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 440,077 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 84% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.