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Mendeley readers
Attention Score in Context
| Chapter title |
Graph Optimization with Unstructured Covariance: Fast, Accurate, Linear Approximation
|
|---|---|
| Chapter number | 25 |
| Book title |
Simulation, Modeling, and Programming for Autonomous Robots
|
| Published in |
Lecture notes in computer science, November 2012
|
| DOI | 10.1007/978-3-642-34327-8_25 |
| Book ISBNs |
978-3-64-234326-1, 978-3-64-234327-8
|
| Authors |
Luca Carlone, Jingchun Yin, Stefano Rosa, Zehui Yuan |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Unknown | 6 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 43% |
| Professor | 2 | 29% |
| Student > Master | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 57% |
| Engineering | 3 | 43% |
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 15 December 2012.
All research outputs
#20,187,333
of 22,703,044 outputs
Outputs from Lecture notes in computer science
#6,982
of 8,124 outputs
Outputs of similar age
#163,097
of 183,415 outputs
Outputs of similar age from Lecture notes in computer science
#60
of 70 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 183,415 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 70 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.