| Title |
A Review on Friction Stir Welding of Steels
|
|---|---|
| Published in |
Chinese Journal of Mechanical Engineering, December 2021
|
| DOI | 10.1186/s10033-021-00655-3 |
| Authors |
Dhanesh G Mohan, ChuanSong Wu |
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 % |
|---|---|---|
| Serbia | 1 | 50% |
| China | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 150 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 17% |
| Researcher | 12 | 8% |
| Student > Bachelor | 11 | 7% |
| Student > Master | 6 | 4% |
| Lecturer | 5 | 3% |
| Other | 23 | 15% |
| Unknown | 68 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 52 | 35% |
| Materials Science | 15 | 10% |
| Unspecified | 6 | 4% |
| Chemistry | 1 | <1% |
| Arts and Humanities | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 75 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 04 October 2022.
All research outputs
#6,360,271
of 23,467,261 outputs
Outputs from Chinese Journal of Mechanical Engineering
#15
of 57 outputs
Outputs of similar age
#139,719
of 509,711 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#1
of 4 outputs
Altmetric has tracked 23,467,261 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 509,711 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 72% of its contemporaries.
We're also able to compare this research output to 4 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