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Mendeley readers
Attention Score in Context
| Title |
On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming
|
|---|---|
| Published in |
Mathematical Programming, April 2005
|
| DOI | 10.1007/s10107-004-0559-y |
| Authors |
Andreas Wächter, Lorenz T. Biegler |
Mendeley readers
The data shown below were compiled from readership statistics for 1,691 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 19 | 1% |
| Germany | 9 | <1% |
| Canada | 6 | <1% |
| Norway | 5 | <1% |
| Brazil | 4 | <1% |
| Netherlands | 3 | <1% |
| Spain | 3 | <1% |
| United Kingdom | 3 | <1% |
| Italy | 2 | <1% |
| Other | 19 | 1% |
| Unknown | 1618 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 562 | 33% |
| Student > Master | 245 | 14% |
| Researcher | 177 | 10% |
| Student > Doctoral Student | 101 | 6% |
| Student > Bachelor | 95 | 6% |
| Other | 201 | 12% |
| Unknown | 310 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 728 | 43% |
| Computer Science | 123 | 7% |
| Mathematics | 105 | 6% |
| Chemical Engineering | 104 | 6% |
| Energy | 37 | 2% |
| Other | 208 | 12% |
| Unknown | 386 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 03 October 2023.
All research outputs
#2,379,926
of 25,837,817 outputs
Outputs from Mathematical Programming
#8
of 801 outputs
Outputs of similar age
#3,887
of 71,005 outputs
Outputs of similar age from Mathematical Programming
#1
of 6 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 801 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done particularly well, scoring higher than 98% 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 71,005 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 93% of its contemporaries.
We're also able to compare this research output to 6 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