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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Learning compact graph representations via an encoder-decoder network
|
|---|---|
| Published in |
Applied Network Science, July 2019
|
| DOI | 10.1007/s41109-019-0157-9 |
| Authors |
John Boaz Lee, Xiangnan Kong |
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% |
| Mexico | 1 | 17% |
| Canada | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 50% |
| Science communicators (journalists, bloggers, editors) | 2 | 33% |
| Scientists | 1 | 17% |
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 % |
|---|---|---|
| Student > Master | 7 | 27% |
| Student > Bachelor | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Doctoral Student | 1 | 4% |
| Other | 4 | 15% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 62% |
| Unspecified | 1 | 4% |
| Chemistry | 1 | 4% |
| Neuroscience | 1 | 4% |
| Unknown | 7 | 27% |
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 23 July 2019.
All research outputs
#14,671,229
of 24,998,746 outputs
Outputs from Applied Network Science
#279
of 577 outputs
Outputs of similar age
#174,877
of 352,375 outputs
Outputs of similar age from Applied Network Science
#26
of 39 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 577 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 51% 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 352,375 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.