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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of Taguchi Method to Optimize the Parameter of Fused Deposition Modeling (FDM) Using Oil Palm Fiber Reinforced Thermoplastic Composites
|
|---|---|
| Published in |
Polymers, May 2022
|
| DOI | 10.3390/polym14112140 |
| Pubmed ID | |
| Authors |
Mohd Nazri Ahmad, Mohamad Ridzwan Ishak, Mastura Mohammad Taha, Faizal Mustapha, Zulkiflle Leman, Debby Dyne Anak Lukista, Irianto, Ihwan Ghazali |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 10% |
| Student > Master | 7 | 10% |
| Researcher | 4 | 6% |
| Lecturer | 4 | 6% |
| Professor | 3 | 4% |
| Other | 12 | 17% |
| Unknown | 32 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 29% |
| Materials Science | 4 | 6% |
| Chemistry | 2 | 3% |
| Computer Science | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 6 | 9% |
| Unknown | 35 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 November 2022.
All research outputs
#14,377,572
of 23,025,074 outputs
Outputs from Polymers
#1,425
of 5,060 outputs
Outputs of similar age
#210,212
of 439,234 outputs
Outputs of similar age from Polymers
#83
of 267 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,060 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 66% 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 439,234 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 267 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.