| Title |
Achieving convergence in galaxy formation models by augmenting N-body merger trees
|
|---|---|
| Published in |
Computational Astrophysics and Cosmology, August 2016
|
| DOI | 10.1186/s40668-016-0016-3 |
| Authors |
Andrew J Benson, Chris Cannella, Shaun Cole |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| United States | 1 | 5% |
| Korea, Republic of | 1 | 5% |
| Unknown | 17 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 40% |
| Researcher | 3 | 15% |
| Professor | 3 | 15% |
| Professor > Associate Professor | 2 | 10% |
| Unspecified | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 1 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 18 | 90% |
| Unspecified | 1 | 5% |
| Unknown | 1 | 5% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 17 August 2016.
All research outputs
#3,432,232
of 23,822,306 outputs
Outputs from Computational Astrophysics and Cosmology
#11
of 27 outputs
Outputs of similar age
#60,931
of 346,778 outputs
Outputs of similar age from Computational Astrophysics and Cosmology
#1
of 2 outputs
Altmetric has tracked 23,822,306 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.4. This one scored the same or higher as 16 of them.
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 346,778 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 82% 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