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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 6 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 | 33% |
| Spain | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
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 6. 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
#5,579,266
of 22,711,242 outputs
Outputs from arXiv
#112,682
of 930,878 outputs
Outputs of similar age
#46,583
of 195,531 outputs
Outputs of similar age from arXiv
#498
of 7,694 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 930,878 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 195,531 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 76% of its contemporaries.
We're also able to compare this research output to 7,694 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 93% of its contemporaries.