You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm
|
|---|---|
| Published in |
Frontiers in Genetics, August 2020
|
| DOI | 10.3389/fgene.2020.00900 |
| Pubmed ID | |
| Authors |
Luotong Wang, Li Qu, Longshu Yang, Yiying Wang, Huaiqiu Zhu |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 19% |
| United States | 2 | 13% |
| Canada | 1 | 6% |
| Sweden | 1 | 6% |
| Kenya | 1 | 6% |
| South Africa | 1 | 6% |
| Russia | 1 | 6% |
| Romania | 1 | 6% |
| Switzerland | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 4 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 81% |
| Scientists | 3 | 19% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 103 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 16 | 16% |
| Student > Ph. D. Student | 14 | 14% |
| Researcher | 14 | 14% |
| Student > Master | 8 | 8% |
| Student > Doctoral Student | 7 | 7% |
| Other | 12 | 12% |
| Unknown | 32 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 24 | 23% |
| Agricultural and Biological Sciences | 19 | 18% |
| Computer Science | 5 | 5% |
| Immunology and Microbiology | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 13 | 13% |
| Unknown | 35 | 34% |
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 26 April 2021.
All research outputs
#4,333,920
of 24,664,952 outputs
Outputs from Frontiers in Genetics
#1,316
of 13,296 outputs
Outputs of similar age
#98,979
of 403,772 outputs
Outputs of similar age from Frontiers in Genetics
#55
of 448 outputs
Altmetric has tracked 24,664,952 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,296 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 90% 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 403,772 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 75% of its contemporaries.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.