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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders
|
|---|---|
| Published in |
Frontiers in Pharmacology, April 2020
|
| DOI | 10.3389/fphar.2020.00269 |
| Pubmed ID | |
| Authors |
Rim Shayakhmetov, Maksim Kuznetsov, Alexander Zhebrak, Artur Kadurin, Sergey Nikolenko, Alexander Aliper, Daniil Polykovskiy |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 13% |
| Russia | 1 | 13% |
| Unknown | 6 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 74 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 27% |
| Student > Ph. D. Student | 12 | 16% |
| Student > Bachelor | 6 | 8% |
| Student > Master | 4 | 5% |
| Other | 3 | 4% |
| Other | 2 | 3% |
| Unknown | 27 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 12% |
| Computer Science | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Engineering | 5 | 7% |
| Physics and Astronomy | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 34 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 11 October 2022.
All research outputs
#1,393,691
of 24,601,689 outputs
Outputs from Frontiers in Pharmacology
#512
of 18,631 outputs
Outputs of similar age
#35,910
of 377,695 outputs
Outputs of similar age from Frontiers in Pharmacology
#18
of 506 outputs
Altmetric has tracked 24,601,689 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 18,631 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 97% 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 377,695 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 90% of its contemporaries.
We're also able to compare this research output to 506 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 96% of its contemporaries.