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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A stochastic numerical analysis based on hybrid NAR-RBFs networks nonlinear SITR model for novel COVID-19 dynamics
|
|---|---|
| Published in |
Computer Methods & Programs in Biomedicine, February 2021
|
| DOI | 10.1016/j.cmpb.2021.105973 |
| Pubmed ID | |
| Authors |
Muhammad Shoaib, Muhammad Asif Zahoor Raja, Muhammad Touseef Sabir, Ayaz Hussain Bukhari, Hussam Alrabaiah, Zahir Shah, Poom Kumam, Saeed Islam |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 96 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 16% |
| Lecturer | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Student > Postgraduate | 5 | 5% |
| Professor | 4 | 4% |
| Other | 14 | 15% |
| Unknown | 47 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 13% |
| Medicine and Dentistry | 7 | 7% |
| Mathematics | 6 | 6% |
| Computer Science | 6 | 6% |
| Nursing and Health Professions | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 49 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 February 2021.
All research outputs
#4,638,383
of 25,604,262 outputs
Outputs from Computer Methods & Programs in Biomedicine
#182
of 2,082 outputs
Outputs of similar age
#121,404
of 535,819 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#6
of 37 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,082 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% 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 535,819 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.