You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
On the importance of nonlinear modeling in computer performance
prediction
|
---|---|
Chapter number | 19 |
Book title |
Advances in Intelligent Data Analysis XII
|
Published in |
arXiv, May 2013
|
DOI | 10.1007/978-3-642-41398-8_19 |
Book ISBNs |
978-3-64-241397-1, 978-3-64-241398-8
|
Authors |
Joshua Garland, Elizabeth Bradley, Garland, Joshua, Bradley, Elizabeth |
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 | 1 | 20% |
Spain | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 2% |
United Kingdom | 1 | 2% |
Mexico | 1 | 2% |
Estonia | 1 | 2% |
Greece | 1 | 2% |
United States | 1 | 2% |
Unknown | 46 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 18 | 35% |
Researcher | 7 | 13% |
Student > Bachelor | 4 | 8% |
Student > Master | 4 | 8% |
Student > Doctoral Student | 3 | 6% |
Other | 12 | 23% |
Unknown | 4 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 25% |
Engineering | 6 | 12% |
Psychology | 5 | 10% |
Physics and Astronomy | 4 | 8% |
Agricultural and Biological Sciences | 3 | 6% |
Other | 13 | 25% |
Unknown | 8 | 15% |
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 28 April 2017.
All research outputs
#7,317,434
of 25,844,815 outputs
Outputs from arXiv
#122,889
of 949,498 outputs
Outputs of similar age
#58,505
of 209,606 outputs
Outputs of similar age from arXiv
#572
of 7,763 outputs
Altmetric has tracked 25,844,815 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 949,498 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 86% 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 209,606 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 71% of its contemporaries.
We're also able to compare this research output to 7,763 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 92% of its contemporaries.