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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1872-3 |
| Pubmed ID | |
| Authors |
Kujin Tang, Jie Ren, Fengzhu Sun |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 27% |
| United Kingdom | 2 | 18% |
| Sweden | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 45% |
| Members of the public | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 28% |
| Researcher | 4 | 16% |
| Unspecified | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 24% |
| Computer Science | 5 | 20% |
| Agricultural and Biological Sciences | 3 | 12% |
| Unspecified | 1 | 4% |
| Unknown | 10 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 25 December 2019.
All research outputs
#2,552,788
of 25,387,668 outputs
Outputs from Genome Biology
#2,043
of 4,470 outputs
Outputs of similar age
#59,187
of 473,226 outputs
Outputs of similar age from Genome Biology
#73
of 101 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 54% 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 473,226 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 87% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.