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.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
TheoryGuru: A Mathematica Package to Apply Quantifier Elimination Technology to Economics
|
---|---|
Chapter number | 44 |
Book title |
Mathematical Software – ICMS 2018
|
Published in |
arXiv, July 2018
|
DOI | 10.1007/978-3-319-96418-8_44 |
Book ISBNs |
978-3-31-996417-1, 978-3-31-996418-8
|
Authors |
C. Mulligan, J. H. Davenport, M. England, Casey B. Mulligan, James H. Davenport, Matthew England, Mulligan, Casey B., Davenport, James H., England, Matthew |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 63% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 100% |
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 % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 3 | 43% |
Student > Ph. D. Student | 1 | 14% |
Student > Master | 1 | 14% |
Unknown | 2 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 2 | 29% |
Computer Science | 1 | 14% |
Economics, Econometrics and Finance | 1 | 14% |
Unknown | 3 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 July 2018.
All research outputs
#6,192,609
of 24,479,790 outputs
Outputs from arXiv
#118,076
of 986,026 outputs
Outputs of similar age
#100,023
of 334,269 outputs
Outputs of similar age from arXiv
#2,944
of 20,779 outputs
Altmetric has tracked 24,479,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 986,026 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 87% 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 334,269 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 70% of its contemporaries.
We're also able to compare this research output to 20,779 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.