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.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Graph Neural Networks for Charged Particle Tracking on FPGAs
|
|---|---|
| Published in |
arXiv, March 2022
|
| DOI | 10.3389/fdata.2022.828666 |
| Pubmed ID | |
| Authors |
Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 19% |
| Germany | 1 | 4% |
| Austria | 1 | 4% |
| Switzerland | 1 | 4% |
| Unknown | 18 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 62% |
| Scientists | 9 | 35% |
| Unknown | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 12% |
| Student > Bachelor | 1 | 4% |
| Unknown | 21 | 84% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 22 | 88% |
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 29 March 2022.
All research outputs
#3,004,779
of 26,323,740 outputs
Outputs from arXiv
#49,713
of 986,335 outputs
Outputs of similar age
#67,563
of 453,151 outputs
Outputs of similar age from arXiv
#1,409
of 27,664 outputs
Altmetric has tracked 26,323,740 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 986,335 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 94% 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 453,151 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 27,664 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.