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Mendeley readers
Attention Score in Context
| Title |
Review on field assisted metal additive manufacturing
|
|---|---|
| Published in |
International Journal of Machine Tools & Manufacture, June 2023
|
| DOI | 10.1016/j.ijmachtools.2023.104032 |
| Authors |
Chaolin Tan, Runsheng Li, Jinlong Su, Dafan Du, Yang Du, Bonnie Attard, Youxiang Chew, Haiou Zhang, Enrique J. Lavernia, Yves Fautrelle, Jie Teng, Anping Dong |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 26% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Student > Postgraduate | 3 | 4% |
| Student > Master | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 34 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 20 | 29% |
| Materials Science | 10 | 14% |
| Unspecified | 2 | 3% |
| Business, Management and Accounting | 1 | 1% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 36 | 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 26 May 2023.
All research outputs
#4,374,136
of 25,394,764 outputs
Outputs from International Journal of Machine Tools & Manufacture
#26
of 424 outputs
Outputs of similar age
#75,490
of 388,748 outputs
Outputs of similar age from International Journal of Machine Tools & Manufacture
#1
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 424 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 93% 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 388,748 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 79% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them