Title |
Optimal Jacobian accumulation is NP-complete
|
---|---|
Published in |
Mathematical Programming, October 2006
|
DOI | 10.1007/s10107-006-0042-z |
Authors |
Uwe Naumann |
X Demographics
The data shown below were collected from the profiles of 373 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 | 29 | 8% |
United Kingdom | 13 | 3% |
France | 12 | 3% |
India | 11 | 3% |
Japan | 8 | 2% |
Mexico | 6 | 2% |
Germany | 6 | 2% |
Spain | 5 | 1% |
Thailand | 4 | 1% |
Other | 62 | 17% |
Unknown | 217 | 58% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 290 | 78% |
Scientists | 80 | 21% |
Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Canada | 1 | 2% |
Unknown | 40 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 24% |
Student > Ph. D. Student | 9 | 21% |
Student > Master | 9 | 21% |
Student > Bachelor | 3 | 7% |
Professor > Associate Professor | 2 | 5% |
Other | 5 | 12% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 43% |
Engineering | 8 | 19% |
Mathematics | 7 | 17% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 3 | 7% |
Unknown | 4 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 236. 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 23 April 2024.
All research outputs
#163,334
of 25,768,270 outputs
Outputs from Mathematical Programming
#1
of 799 outputs
Outputs of similar age
#213
of 86,192 outputs
Outputs of similar age from Mathematical Programming
#1
of 5 outputs
Altmetric has tracked 25,768,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 799 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 99% 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 86,192 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them