The Semantic Web – ISWC 2020
Springer International Publishing
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
A Semantic Framework for Enabling Radio Spectrum Policy Management and Evaluation
|
|---|---|
| Book title |
The Semantic Web – ISWC 2020
|
| Published in |
arXiv, November 2020
|
| DOI | 10.1007/978-3-030-62466-8_30 |
| Book ISBNs |
978-3-03-062465-1, 978-3-03-062466-8
|
| Authors |
Henrique Santos, Alice Mulvehill, John S. Erickson, James P. McCusker, Minor Gordon, Owen Xie, Samuel Stouffer, Gerard Capraro, Alex Pidwerbetsky, John Burgess, Allan Berlinsky, Kurt Turck, Jonathan Ashdown, Deborah L. McGuinness, H. Santos, A. Mulvehill, J. S. Erickson, J. P. McCusker, M. Gordon, O. Xie, S. Stouffer, G. Capraro, A. Pidwerbetsky, J. Burgess, A. Berlinsky, K. Turck, J. Ashdown, D. L. McGuinness, Santos, Henrique, Mulvehill, Alice, Erickson, John S., McCusker, James P., Gordon, Minor, Xie, Owen, Stouffer, Samuel, Capraro, Gerard, Pidwerbetsky, Alex, Burgess, John, Berlinsky, Allan, Turck, Kurt, Ashdown, Jonathan, McGuinness, Deborah L. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 33% |
| Researcher | 1 | 33% |
| Student > Doctoral Student | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 November 2020.
All research outputs
#20,662,373
of 23,257,423 outputs
Outputs from arXiv
#684,274
of 958,526 outputs
Outputs of similar age
#359,622
of 420,869 outputs
Outputs of similar age from arXiv
#24,733
of 35,407 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 958,526 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 420,869 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,407 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.