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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
The Canonical Distortion Measure for Vector Quantization and Function Approximation
|
|---|---|
| Chapter number | 7 |
| Book title |
Learning to Learn
|
| Published in |
arXiv, January 1998
|
| DOI | 10.1007/978-1-4615-5529-2_7 |
| Book ISBNs |
978-1-4613-7527-2, 978-1-4615-5529-2
|
| Authors |
Jonathan Baxter, Baxter, Jonathan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 4% |
| India | 1 | 4% |
| Czechia | 1 | 4% |
| China | 1 | 4% |
| United States | 1 | 4% |
| Unknown | 23 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 36% |
| Lecturer | 3 | 11% |
| Researcher | 3 | 11% |
| Student > Master | 3 | 11% |
| Professor > Associate Professor | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 17 | 61% |
| Engineering | 5 | 18% |
| Agricultural and Biological Sciences | 1 | 4% |
| Arts and Humanities | 1 | 4% |
| Physics and Astronomy | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 2 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 20 November 2019.
All research outputs
#18,604,390
of 23,045,021 outputs
Outputs from arXiv
#539,204
of 946,967 outputs
Outputs of similar age
#91,101
of 94,365 outputs
Outputs of similar age from arXiv
#121
of 133 outputs
Altmetric has tracked 23,045,021 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 946,967 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 94,365 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.