The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
KITSUNE: A Tool for Identifying Empirically Optimal K-mer Length for Alignment-Free Phylogenomic Analysis
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, September 2020
|
| DOI | 10.3389/fbioe.2020.556413 |
| Pubmed ID | |
| Authors |
Natapol Pornputtapong, Daniel A. Acheampong, Preecha Patumcharoenpol, Piroon Jenjaroenpun, Thidathip Wongsurawat, Se-Ran Jun, Suganya Yongkiettrakul, Nipa Chokesajjawatee, Intawat Nookaew |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 8% |
| United States | 2 | 8% |
| Brazil | 1 | 4% |
| Thailand | 1 | 4% |
| Germany | 1 | 4% |
| Malaysia | 1 | 4% |
| Canada | 1 | 4% |
| Unknown | 16 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 12 | 48% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 22% |
| Student > Master | 7 | 17% |
| Lecturer | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Professor | 3 | 7% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 27% |
| Agricultural and Biological Sciences | 5 | 12% |
| Immunology and Microbiology | 2 | 5% |
| Computer Science | 2 | 5% |
| Medicine and Dentistry | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 13 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 10 April 2021.
All research outputs
#1,921,502
of 26,225,548 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#215
of 8,700 outputs
Outputs of similar age
#49,684
of 434,061 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#18
of 346 outputs
Altmetric has tracked 26,225,548 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,700 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 97% 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 434,061 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 88% of its contemporaries.
We're also able to compare this research output to 346 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.