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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Selene: a PyTorch-based deep learning library for sequence data
|
|---|---|
| Published in |
Nature Methods, March 2019
|
| DOI | 10.1038/s41592-019-0360-8 |
| Pubmed ID | |
| Authors |
Kathleen M. Chen, Evan M. Cofer, Jian Zhou, Olga G. Troyanskaya |
X Demographics
The data shown below were collected from the profiles of 157 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 | 45 | 29% |
| India | 11 | 7% |
| United Kingdom | 5 | 3% |
| Canada | 5 | 3% |
| Japan | 4 | 3% |
| Germany | 4 | 3% |
| Australia | 3 | 2% |
| Colombia | 2 | 1% |
| Nigeria | 2 | 1% |
| Other | 22 | 14% |
| Unknown | 54 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 103 | 66% |
| Scientists | 52 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 257 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 60 | 23% |
| Researcher | 46 | 18% |
| Student > Master | 26 | 10% |
| Student > Bachelor | 24 | 9% |
| Professor | 10 | 4% |
| Other | 33 | 13% |
| Unknown | 58 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 68 | 26% |
| Agricultural and Biological Sciences | 35 | 14% |
| Computer Science | 29 | 11% |
| Engineering | 15 | 6% |
| Medicine and Dentistry | 12 | 5% |
| Other | 30 | 12% |
| Unknown | 68 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 90. 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 05 December 2019.
All research outputs
#477,724
of 26,017,215 outputs
Outputs from Nature Methods
#589
of 5,401 outputs
Outputs of similar age
#10,770
of 367,139 outputs
Outputs of similar age from Nature Methods
#14
of 72 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,401 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done well, scoring higher than 89% 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 367,139 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.