| Title |
An effective numerical method to solve a class of nonlinear singular boundary value problems using improved differential transform method
|
|---|---|
| Published in |
SpringerPlus, July 2016
|
| DOI | 10.1186/s40064-016-2753-9 |
| Pubmed ID | |
| Authors |
Lie-jun Xie, Cai-lian Zhou, Song Xu |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Researcher | 2 | 10% |
| Unspecified | 1 | 5% |
| Professor | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 8 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 7 | 35% |
| Engineering | 2 | 10% |
| Unspecified | 1 | 5% |
| Design | 1 | 5% |
| Unknown | 9 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 February 2022.
All research outputs
#13,155,921
of 23,202,641 outputs
Outputs from SpringerPlus
#631
of 1,854 outputs
Outputs of similar age
#182,318
of 355,632 outputs
Outputs of similar age from SpringerPlus
#88
of 234 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has gotten more attention than average, scoring higher than 64% 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 355,632 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.