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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Best practices for replicability, reproducibility and reusability of computer-based experiments exemplified by model reduction software
|
|---|---|
| Published in |
arXiv, January 2016
|
| DOI | 10.3934/math.2016.3.261 |
| Authors |
Jörg Fehr, Jan Heiland, Christian Himpe, Jens Saak |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 16% |
| United States | 1 | 5% |
| Netherlands | 1 | 5% |
| Argentina | 1 | 5% |
| Norway | 1 | 5% |
| Spain | 1 | 5% |
| France | 1 | 5% |
| India | 1 | 5% |
| Unknown | 9 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 10 | 53% |
| Members of the public | 9 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 34% |
| Researcher | 6 | 14% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 2 | 5% |
| Other | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 20% |
| Mathematics | 8 | 18% |
| Engineering | 4 | 9% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Energy | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 8 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 18 May 2021.
All research outputs
#1,660,439
of 22,880,230 outputs
Outputs from arXiv
#26,836
of 939,638 outputs
Outputs of similar age
#30,880
of 393,709 outputs
Outputs of similar age from arXiv
#344
of 13,672 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 939,638 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 97% 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 393,709 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 13,672 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.