| Title |
The black hole accretion code
|
|---|---|
| Published in |
Computational Astrophysics and Cosmology, May 2017
|
| DOI | 10.1186/s40668-017-0020-2 |
| Authors |
Oliver Porth, Hector Olivares, Yosuke Mizuno, Ziri Younsi, Luciano Rezzolla, Monika Moscibrodzka, Heino Falcke, Michael Kramer |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 18% |
| Venezuela, Bolivarian Republic of | 2 | 12% |
| Germany | 2 | 12% |
| Japan | 1 | 6% |
| Unknown | 9 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 24% |
| Researcher | 13 | 18% |
| Student > Doctoral Student | 6 | 8% |
| Student > Master | 6 | 8% |
| Professor > Associate Professor | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 48 | 68% |
| Engineering | 2 | 3% |
| Computer Science | 1 | 1% |
| Neuroscience | 1 | 1% |
| Chemical Engineering | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 18 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 11 April 2018.
All research outputs
#3,186,225
of 26,017,215 outputs
Outputs from Computational Astrophysics and Cosmology
#11
of 29 outputs
Outputs of similar age
#54,708
of 328,201 outputs
Outputs of similar age from Computational Astrophysics and Cosmology
#2
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 29 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.4. This one scored the same or higher as 18 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 328,201 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 83% 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.