| Title |
Deep hierarchical embedding for simultaneous modeling of GPCR proteins in a unified metric space
|
|---|---|
| Published in |
Scientific Reports, May 2021
|
| DOI | 10.1038/s41598-021-88623-8 |
| Pubmed ID | |
| Authors |
Taeheon Lee, Sangseon Lee, Minji Kang, Sun Kim |
X Demographics
The data shown below were collected from the profiles of 6 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 | 2 | 33% |
| South Africa | 1 | 17% |
| Sweden | 1 | 17% |
| France | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Researcher | 2 | 18% |
| Professor | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Computer Science | 2 | 18% |
| Mathematics | 1 | 9% |
| Physics and Astronomy | 1 | 9% |
| Unknown | 5 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 October 2021.
All research outputs
#8,364,506
of 24,998,746 outputs
Outputs from Scientific Reports
#57,401
of 137,137 outputs
Outputs of similar age
#170,972
of 434,191 outputs
Outputs of similar age from Scientific Reports
#1,901
of 4,616 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 137,137 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 55% 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 434,191 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 4,616 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.