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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A method to predict shape and trajectory of charge in industrial mills
|
|---|---|
| Published in |
Minerals Engineering, June 2013
|
| DOI | 10.1016/j.mineng.2013.04.013 |
| Authors |
M. Maleki-Moghaddam, M. Yahyaei, S. Banisi |
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 % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 41 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 19% |
| Student > Bachelor | 8 | 19% |
| Student > Master | 7 | 16% |
| Student > Doctoral Student | 4 | 9% |
| Student > Postgraduate | 4 | 9% |
| Other | 7 | 16% |
| Unknown | 5 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 23 | 53% |
| Agricultural and Biological Sciences | 4 | 9% |
| Chemical Engineering | 3 | 7% |
| Materials Science | 3 | 7% |
| Social Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 6 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 14 October 2021.
All research outputs
#7,355,485
of 25,371,288 outputs
Outputs from Minerals Engineering
#208
of 884 outputs
Outputs of similar age
#59,074
of 206,477 outputs
Outputs of similar age from Minerals Engineering
#5
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 884 research outputs from this source. They receive a mean Attention Score of 4.3. 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 206,477 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 69% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.