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X Demographics
Mendeley readers
Attention Score in Context
| Title |
NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks
|
|---|---|
| Published in |
Genome Biology, September 2021
|
| DOI | 10.1186/s13059-021-02472-2 |
| Pubmed ID | |
| Authors |
Mian Umair Ahsan, Qian Liu, Li Fang, Kai Wang |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
| United Kingdom | 3 | 17% |
| France | 2 | 11% |
| Korea, Democratic People's Republic of | 1 | 6% |
| Japan | 1 | 6% |
| Sweden | 1 | 6% |
| Unknown | 6 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 8 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 21% |
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 23 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 26% |
| Agricultural and Biological Sciences | 10 | 16% |
| Computer Science | 6 | 10% |
| Immunology and Microbiology | 2 | 3% |
| Neuroscience | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 25 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 28 September 2021.
All research outputs
#4,898,837
of 25,827,956 outputs
Outputs from Genome Biology
#2,808
of 4,520 outputs
Outputs of similar age
#101,443
of 436,112 outputs
Outputs of similar age from Genome Biology
#61
of 82 outputs
Altmetric has tracked 25,827,956 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 37th percentile – i.e., 37% 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 436,112 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 76% of its contemporaries.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.