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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Sequence-to-sequence modeling for graph representation learning
|
|---|---|
| Published in |
Applied Network Science, August 2019
|
| DOI | 10.1007/s41109-019-0174-8 |
| Authors |
Aynaz Taheri, Kevin Gimpel, Tanya Berger-Wolf |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| Spain | 2 | 14% |
| Mexico | 1 | 7% |
| France | 1 | 7% |
| Russia | 1 | 7% |
| Chile | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 64% |
| Scientists | 4 | 29% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 23% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Master | 3 | 12% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 50% |
| Agricultural and Biological Sciences | 2 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Neuroscience | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 January 2024.
All research outputs
#2,588,713
of 25,263,619 outputs
Outputs from Applied Network Science
#61
of 581 outputs
Outputs of similar age
#50,913
of 347,344 outputs
Outputs of similar age from Applied Network Science
#6
of 34 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 581 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. 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 347,344 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 85% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.