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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Application of the Functional Variable Method for Solving the Loaded Non-linear Evaluation Equations
|
|---|---|
| Published in |
Frontiers in Applied Mathematics and Statistics, June 2022
|
| DOI | 10.3389/fams.2022.912674 |
| Authors |
Bazar Babajanov, Fakhriddin Abdikarimov |
X Demographics
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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Unknown | 1 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 50% |
| Unknown | 1 | 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 16 June 2022.
All research outputs
#20,171,868
of 22,684,168 outputs
Outputs from Frontiers in Applied Mathematics and Statistics
#262
of 337 outputs
Outputs of similar age
#329,176
of 410,707 outputs
Outputs of similar age from Frontiers in Applied Mathematics and Statistics
#4
of 10 outputs
Altmetric has tracked 22,684,168 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 337 research outputs from this source. They receive a mean Attention Score of 3.2. 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 410,707 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.