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.
Mendeley readers
Attention Score in Context
| Title |
A mass conserved splitting method for the nonlinear Schrödinger equation
|
|---|---|
| Published in |
Advances in Continuous and Discrete Models, June 2012
|
| DOI | 10.1186/1687-1847-2012-85 |
| Authors |
Dong-Ying Hua, Xiang-Gui Li, Jiang Zhu |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Doctoral Student | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Arts and Humanities | 1 | 25% |
| Physics and Astronomy | 1 | 25% |
| Social Sciences | 1 | 25% |
| Unknown | 1 | 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 21 June 2012.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Advances in Continuous and Discrete Models
#131
of 189 outputs
Outputs of similar age
#160,630
of 177,443 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#1
of 6 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 1st percentile – i.e., 1% 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 177,443 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 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