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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Time Series Prediction for Graphs in Kernel and Dissimilarity Spaces
|
|---|---|
| Published in |
Neural Processing Letters, August 2017
|
| DOI | 10.1007/s11063-017-9684-5 |
| Authors |
Benjamin Paaßen, Christina Göpfert, Barbara Hammer |
X Demographics
The data shown below were collected from the profiles of 26 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 | 4 | 15% |
| France | 2 | 8% |
| Togo | 1 | 4% |
| Spain | 1 | 4% |
| Brazil | 1 | 4% |
| Chile | 1 | 4% |
| China | 1 | 4% |
| Sweden | 1 | 4% |
| Norway | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 73% |
| Scientists | 6 | 23% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 27% |
| Researcher | 5 | 17% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Doctoral Student | 2 | 7% |
| Professor > Associate Professor | 2 | 7% |
| Other | 3 | 10% |
| Unknown | 5 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 43% |
| Social Sciences | 4 | 13% |
| Engineering | 2 | 7% |
| Earth and Planetary Sciences | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 7 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 17 August 2017.
All research outputs
#2,350,665
of 22,965,074 outputs
Outputs from Neural Processing Letters
#2
of 679 outputs
Outputs of similar age
#47,117
of 318,407 outputs
Outputs of similar age from Neural Processing Letters
#1
of 4 outputs
Altmetric has tracked 22,965,074 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 679 research outputs from this source. They receive a mean Attention Score of 1.1. This one has done particularly well, scoring higher than 99% 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 318,407 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them