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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Fast Nondeterministic Matrix Multiplication via Derandomization of Freivalds’ Algorithm
|
|---|---|
| Chapter number | 11 |
| Book title |
Theoretical Computer Science
|
| Published in |
Lecture notes in computer science, September 2014
|
| DOI | 10.1007/978-3-662-44602-7_11 |
| Book ISBNs |
978-3-66-244601-0, 978-3-66-244602-7
|
| Authors |
Jiří Wiedermann, Wiedermann, Jiří |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 % |
|---|---|---|
| Professor | 1 | 33% |
| Student > Ph. D. Student | 1 | 33% |
| Student > Master | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 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 01 February 2015.
All research outputs
#12,910,813
of 22,780,165 outputs
Outputs from Lecture notes in computer science
#3,773
of 8,124 outputs
Outputs of similar age
#106,343
of 237,237 outputs
Outputs of similar age from Lecture notes in computer science
#104
of 226 outputs
Altmetric has tracked 22,780,165 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 has gotten more attention than average, scoring higher than 52% 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 237,237 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 54% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.