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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Causalcall: Nanopore Basecalling Using a Temporal Convolutional Network
|
|---|---|
| Published in |
Frontiers in Genetics, January 2020
|
| DOI | 10.3389/fgene.2019.01332 |
| Pubmed ID | |
| Authors |
Jingwen Zeng, Hongmin Cai, Hong Peng, Haiyan Wang, Yue Zhang, Tatsuya Akutsu |
X Demographics
The data shown below were collected from the profiles of 15 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 Kingdom | 1 | 7% |
| Australia | 1 | 7% |
| Switzerland | 1 | 7% |
| Canada | 1 | 7% |
| Netherlands | 1 | 7% |
| New Zealand | 1 | 7% |
| Japan | 1 | 7% |
| Unknown | 8 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 67% |
| Scientists | 5 | 33% |
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 % |
|---|---|---|
| Researcher | 16 | 16% |
| Student > Bachelor | 12 | 12% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Master | 10 | 10% |
| Professor | 6 | 6% |
| Other | 6 | 6% |
| Unknown | 41 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 25 | 24% |
| Agricultural and Biological Sciences | 11 | 11% |
| Computer Science | 8 | 8% |
| Engineering | 8 | 8% |
| Business, Management and Accounting | 2 | 2% |
| Other | 7 | 7% |
| Unknown | 42 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 01 March 2022.
All research outputs
#2,005,909
of 25,728,855 outputs
Outputs from Frontiers in Genetics
#428
of 13,783 outputs
Outputs of similar age
#48,736
of 482,517 outputs
Outputs of similar age from Frontiers in Genetics
#7
of 346 outputs
Altmetric has tracked 25,728,855 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 13,783 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 482,517 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 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 97% of its contemporaries.