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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
MaLTESE: Large-Scale Simulation-Driven Machine Learning for Transient Driving Cycles
|
|---|---|
| Chapter number | 10 |
| Book title |
High Performance Computing
|
| Published in |
arXiv, June 2019
|
| DOI | 10.1007/978-3-030-20656-7_10 |
| Book ISBNs |
978-3-03-020655-0, 978-3-03-020656-7
|
| Authors |
Shashi M. Aithal, Prasanna Balaprakash, Aithal, Shashi M., Balaprakash, Prasanna |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 50% |
| Researcher | 2 | 20% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 30% |
| Engineering | 2 | 20% |
| Social Sciences | 1 | 10% |
| Business, Management and Accounting | 1 | 10% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 24 September 2019.
All research outputs
#1,559,716
of 23,150,406 outputs
Outputs from arXiv
#24,740
of 952,359 outputs
Outputs of similar age
#33,457
of 325,004 outputs
Outputs of similar age from arXiv
#878
of 28,665 outputs
Altmetric has tracked 23,150,406 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 952,359 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 325,004 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 89% of its contemporaries.
We're also able to compare this research output to 28,665 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 96% of its contemporaries.