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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
|
|---|---|
| Published in |
arXiv, January 2021
|
| DOI | 10.3389/fdata.2020.598927 |
| Pubmed ID | |
| Authors |
Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu |
X Demographics
The data shown below were collected from the profiles of 10 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 | 40% |
| Switzerland | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 15% |
| Researcher | 2 | 6% |
| Professor | 1 | 3% |
| Lecturer | 1 | 3% |
| Student > Master | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 22 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 7 | 21% |
| Computer Science | 2 | 6% |
| Mathematics | 1 | 3% |
| Engineering | 1 | 3% |
| Unknown | 22 | 67% |
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 12 January 2021.
All research outputs
#7,002,842
of 25,387,668 outputs
Outputs from arXiv
#115,429
of 915,148 outputs
Outputs of similar age
#163,865
of 522,724 outputs
Outputs of similar age from arXiv
#3,297
of 24,742 outputs
Altmetric has tracked 25,387,668 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 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 522,724 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 68% of its contemporaries.
We're also able to compare this research output to 24,742 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.