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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of Deep Learning Techniques to Model Connections Between Solar Wind and Ground Magnetic Perturbations
|
|---|---|
| Published in |
Frontiers in Astronomy and Space Sciences, October 2020
|
| DOI | 10.3389/fspas.2020.550874 |
| Authors |
Amy M. Keesee, Victor Pinto, Michael Coughlan, Connor Lennox, Shaad Mahmud, Hyunju K. Connor |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| Switzerland | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 19% |
| Researcher | 7 | 19% |
| Professor | 3 | 8% |
| Professor > Associate Professor | 2 | 5% |
| Student > Bachelor | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 13 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 10 | 27% |
| Engineering | 4 | 11% |
| Earth and Planetary Sciences | 4 | 11% |
| Computer Science | 2 | 5% |
| Economics, Econometrics and Finance | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 14 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 08 October 2020.
All research outputs
#6,944,560
of 23,245,494 outputs
Outputs from Frontiers in Astronomy and Space Sciences
#241
of 1,080 outputs
Outputs of similar age
#151,056
of 414,388 outputs
Outputs of similar age from Frontiers in Astronomy and Space Sciences
#11
of 35 outputs
Altmetric has tracked 23,245,494 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,080 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 77% 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 414,388 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 63% of its contemporaries.
We're also able to compare this research output to 35 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 68% of its contemporaries.