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Mendeley readers
Attention Score in Context
| Chapter title |
Probabilistic algorithms for sparse polynomials
|
|---|---|
| Chapter number | 73 |
| Book title |
Symbolic and Algebraic Computation
|
| Published in |
Lecture notes in computer science, January 1979
|
| DOI | 10.1007/3-540-09519-5_73 |
| Book ISBNs |
978-3-54-009519-4, 978-3-54-035128-3
|
| Authors |
Richard Zippel, Edward W. Ng, Zippel, Richard |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 12% |
| Italy | 1 | 2% |
| Unknown | 35 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 27% |
| Researcher | 9 | 22% |
| Student > Master | 7 | 17% |
| Student > Bachelor | 4 | 10% |
| Professor | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 30 | 73% |
| Mathematics | 6 | 15% |
| Business, Management and Accounting | 1 | 2% |
| Engineering | 1 | 2% |
| Unknown | 3 | 7% |
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 13 November 2019.
All research outputs
#8,759,452
of 25,837,817 outputs
Outputs from Lecture notes in computer science
#2,564
of 8,201 outputs
Outputs of similar age
#4,256
of 26,701 outputs
Outputs of similar age from Lecture notes in computer science
#2
of 2 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,201 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 53% 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 26,701 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.