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 |
The Levenberg-Marquardt algorithm: Implementation and theory
|
|---|---|
| Chapter number | 10 |
| Book title |
Numerical Analysis
|
| Published in |
ADS, January 1978
|
| DOI | 10.1007/bfb0067700 |
| Book ISBNs |
978-3-54-008538-6, 978-3-54-035972-2
|
| Authors |
Jorge J. Moré, Moré, Jorge J. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,469 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 14 | <1% |
| United States | 11 | <1% |
| United Kingdom | 8 | <1% |
| Spain | 7 | <1% |
| Canada | 5 | <1% |
| France | 3 | <1% |
| China | 2 | <1% |
| Portugal | 1 | <1% |
| Austria | 1 | <1% |
| Other | 12 | <1% |
| Unknown | 1405 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 423 | 29% |
| Researcher | 202 | 14% |
| Student > Master | 202 | 14% |
| Student > Bachelor | 103 | 7% |
| Student > Doctoral Student | 82 | 6% |
| Other | 195 | 13% |
| Unknown | 262 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 461 | 31% |
| Computer Science | 158 | 11% |
| Physics and Astronomy | 114 | 8% |
| Earth and Planetary Sciences | 51 | 3% |
| Agricultural and Biological Sciences | 44 | 3% |
| Other | 276 | 19% |
| Unknown | 365 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 May 2017.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from ADS
#22,792
of 26,744 outputs
Outputs of similar age
#24,656
of 25,645 outputs
Outputs of similar age from ADS
#54
of 60 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,744 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 25,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.