| Title |
Construction of a new family of Fubini-type polynomials and its applications
|
|---|---|
| Published in |
Advances in Continuous and Discrete Models, January 2021
|
| DOI | 10.1186/s13662-020-03202-x |
| Authors |
H. M. Srivastava, Rekha Srivastava, Abdulghani Muhyi, Ghazala Yasmin, Hibah Islahi, Serkan Araci |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 20% |
| Turkey | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 80% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 February 2021.
All research outputs
#7,720,647
of 25,387,668 outputs
Outputs from Advances in Continuous and Discrete Models
#21
of 189 outputs
Outputs of similar age
#180,426
of 519,871 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#3
of 14 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one has done well, scoring higher than 88% 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 519,871 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.