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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Natural-Fiber-Reinforced Chitosan, Chitosan Blends and Their Nanocomposites for Various Advanced Applications
|
|---|---|
| Published in |
Polymers, February 2022
|
| DOI | 10.3390/polym14050874 |
| Pubmed ID | |
| Authors |
Rushdan Ilyas, Humaira Aisyah, Abu Nordin, Norzita Ngadi, Mohamed Zuhri, Muhammad Asyraf, Salit Sapuan, Edi Zainudin, Shubham Sharma, Hairul Abral, Mochamad Asrofi, Edi Syafri, Nasmi Sari, Mazlan Rafidah, Sharifah Zakaria, Muhammad Razman, Nuriah Majid, Zuliskandar Ramli, Ashraf Azmi, Sneh Bangar, Rushdan Ibrahim |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 166 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 11% |
| Student > Ph. D. Student | 15 | 9% |
| Researcher | 10 | 6% |
| Lecturer | 10 | 6% |
| Student > Doctoral Student | 5 | 3% |
| Other | 26 | 16% |
| Unknown | 81 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 16% |
| Chemistry | 13 | 8% |
| Materials Science | 10 | 6% |
| Chemical Engineering | 7 | 4% |
| Agricultural and Biological Sciences | 6 | 4% |
| Other | 19 | 11% |
| Unknown | 84 | 51% |
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 11 March 2022.
All research outputs
#18,815,535
of 23,317,888 outputs
Outputs from Polymers
#3,169
of 5,228 outputs
Outputs of similar age
#318,544
of 442,002 outputs
Outputs of similar age from Polymers
#210
of 299 outputs
Altmetric has tracked 23,317,888 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,228 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 10th percentile – i.e., 10% 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 442,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 299 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.