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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Split Register Allocation: Linear Complexity Without the Performance Penalty
|
|---|---|
| Chapter number | 7 |
| Book title |
High Performance Embedded Architectures and Compilers
|
| Published in |
Lecture notes in computer science, January 2010
|
| DOI | 10.1007/978-3-642-11515-8_7 |
| Book ISBNs |
978-3-64-211514-1, 978-3-64-211515-8
|
| Authors |
Boubacar Diouf, Albert Cohen, Fabrice Rastello, John Cavazos, Diouf, Boubacar, Cohen, Albert, Rastello, Fabrice, Cavazos, John |
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 % |
|---|---|---|
| United States | 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 50% |
| Student > Master | 2 | 33% |
| Other | 1 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 17 January 2019.
All research outputs
#7,225,360
of 25,046,311 outputs
Outputs from Lecture notes in computer science
#2,162
of 8,152 outputs
Outputs of similar age
#44,292
of 174,869 outputs
Outputs of similar age from Lecture notes in computer science
#35
of 184 outputs
Altmetric has tracked 25,046,311 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 8,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 72% 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 174,869 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 72% of its contemporaries.
We're also able to compare this research output to 184 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.