| Title |
A general deep learning framework for network reconstruction and dynamics learning
|
|---|---|
| Published in |
Applied Network Science, November 2019
|
| DOI | 10.1007/s41109-019-0194-4 |
| Authors |
Zhang Zhang, Yi Zhao, Jing Liu, Shuo Wang, Ruyi Tao, Ruyue Xin, Jiang Zhang |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 26% |
| Student > Master | 11 | 11% |
| Researcher | 7 | 7% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 11 | 11% |
| Unknown | 35 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 25% |
| Physics and Astronomy | 11 | 11% |
| Engineering | 11 | 11% |
| Mathematics | 5 | 5% |
| Neuroscience | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 37 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 January 2020.
All research outputs
#6,934,435
of 25,385,509 outputs
Outputs from Applied Network Science
#189
of 582 outputs
Outputs of similar age
#141,075
of 473,607 outputs
Outputs of similar age from Applied Network Science
#16
of 47 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 582 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 67% 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 473,607 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 70% of its contemporaries.
We're also able to compare this research output to 47 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 65% of its contemporaries.