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.
Mendeley readers
Attention Score in Context
| Chapter title |
A General Framework for Applying FGLM Techniques to Linear Codes
|
|---|---|
| Chapter number | 7 |
| Book title |
Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
|
| Published in |
Lecture notes in computer science, February 2006
|
| DOI | 10.1007/11617983_7 |
| Book ISBNs |
978-3-54-031423-3, 978-3-54-031424-0
|
| Authors |
M. Borges-Quintana, M. A. Borges-Trenard, E. Martínez-Moro |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 33% |
| Professor > Associate Professor | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 2 | 67% |
| Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 March 2017.
All research outputs
#7,523,962
of 22,961,203 outputs
Outputs from Lecture notes in computer science
#2,489
of 8,137 outputs
Outputs of similar age
#24,495
of 70,862 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 9 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 54% 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 70,862 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.