| Title |
A three-step iterative scheme for solving nonlinear ϕ-strongly accretive operator equations in Banach spaces
|
|---|---|
| Published in |
Fixed Point Theory and Algorithms for Sciences and Engineering, September 2012
|
| DOI | 10.1186/1687-1812-2012-149 |
| Authors |
Safeer Hussain Khan, Arif Rafiq, Nawab Hussain |
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 % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 25% |
| Social Sciences | 1 | 25% |
| Unknown | 2 | 50% |
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 12 September 2012.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Fixed Point Theory and Algorithms for Sciences and Engineering
#49
of 185 outputs
Outputs of similar age
#168,459
of 187,313 outputs
Outputs of similar age from Fixed Point Theory and Algorithms for Sciences and Engineering
#1
of 16 outputs
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So far Altmetric has tracked 185 research outputs from this source. They receive a mean Attention Score of 0.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.