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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Machine Learning and Feature Engineering Approach for the Prediction of the Uncontrolled Re-Entry of Space Objects
|
---|---|
Published in |
Aerospace, March 2023
|
DOI | 10.3390/aerospace10030297 |
Authors |
Francesco Salmaso, Mirko Trisolini, Camilla Colombo |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 29% |
Unspecified | 1 | 14% |
Student > Ph. D. Student | 1 | 14% |
Lecturer > Senior Lecturer | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 2 | 29% |
Physics and Astronomy | 2 | 29% |
Unspecified | 1 | 14% |
Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 21 March 2023.
All research outputs
#4,090,270
of 23,567,572 outputs
Outputs from Aerospace
#44
of 868 outputs
Outputs of similar age
#66,660
of 372,698 outputs
Outputs of similar age from Aerospace
#2
of 15 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 868 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 372,698 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 82% of its contemporaries.
We're also able to compare this research output to 15 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.