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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Creating and Using Large Grids of Pre-calculated Model Atmospheres for Rapid Analysis of Stellar Spectra
|
|---|---|
| Chapter number | 19 |
| Book title |
Supercomputing
|
| Published in |
arXiv, March 2019
|
| DOI | 10.1007/978-3-030-38043-4_19 |
| Book ISBNs |
978-3-03-038042-7, 978-3-03-038043-4
|
| Authors |
Janos Zsargó, Celia Rosa Fierro-Santillán, Jaime Klapp, Anabel Arrieta, Lorena Arias, Jurij Mendoza Valencia, Leonardo Di G. Sigalotti, Zsargó, Janos, Fierro-Santillán, Celia Rosa, Klapp, Jaime, Arrieta, Anabel, Arias, Lorena, Valencia, Jurij Mendoza, Di G. Sigalotti, Leonardo |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 38% |
| Student > Ph. D. Student | 2 | 25% |
| Student > Doctoral Student | 1 | 13% |
| Lecturer > Senior Lecturer | 1 | 13% |
| Professor | 1 | 13% |
| Other | 0 | 0% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 4 | 50% |
| Nursing and Health Professions | 1 | 13% |
| Agricultural and Biological Sciences | 1 | 13% |
| Computer Science | 1 | 13% |
| Unknown | 1 | 13% |
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 02 August 2021.
All research outputs
#4,157,237
of 23,184,056 outputs
Outputs from arXiv
#88,163
of 954,798 outputs
Outputs of similar age
#87,718
of 351,350 outputs
Outputs of similar age from arXiv
#2,713
of 25,735 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 954,798 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 89% 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 351,350 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 74% of its contemporaries.
We're also able to compare this research output to 25,735 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.