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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Homopolish: a method for the removal of systematic errors in nanopore sequencing by homologous polishing
|
|---|---|
| Published in |
Genome Biology, March 2021
|
| DOI | 10.1186/s13059-021-02282-6 |
| Pubmed ID | |
| Authors |
Yao-Ting Huang, Po-Yu Liu, Pei-Wen Shih |
X Demographics
The data shown below were collected from the profiles of 45 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 | 7 | 16% |
| United Kingdom | 5 | 11% |
| Netherlands | 3 | 7% |
| Spain | 3 | 7% |
| France | 3 | 7% |
| Canada | 2 | 4% |
| New Zealand | 2 | 4% |
| India | 1 | 2% |
| Russia | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 13 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 29 | 64% |
| Members of the public | 14 | 31% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 17% |
| Student > Master | 15 | 14% |
| Student > Ph. D. Student | 12 | 11% |
| Student > Bachelor | 8 | 7% |
| Other | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 42 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 28 | 25% |
| Agricultural and Biological Sciences | 16 | 14% |
| Immunology and Microbiology | 7 | 6% |
| Computer Science | 5 | 5% |
| Medicine and Dentistry | 3 | 3% |
| Other | 11 | 10% |
| Unknown | 41 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 16 April 2021.
All research outputs
#1,699,379
of 25,387,668 outputs
Outputs from Genome Biology
#1,388
of 4,470 outputs
Outputs of similar age
#45,894
of 453,935 outputs
Outputs of similar age from Genome Biology
#50
of 93 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% 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 68% 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 453,935 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 89% of its contemporaries.
We're also able to compare this research output to 93 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.