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X Demographics
Mendeley readers
Attention Score in Context
| Title |
rstoolbox - a Python library for large-scale analysis of computational protein design data and structural bioinformatics
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2796-3 |
| Pubmed ID | |
| Authors |
Jaume Bonet, Zander Harteveld, Fabian Sesterhenn, Andreas Scheck, Bruno E. Correia |
X Demographics
The data shown below were collected from the profiles of 10 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 Kingdom | 3 | 30% |
| Switzerland | 2 | 20% |
| Israel | 1 | 10% |
| Canada | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 70% |
| Members of the public | 3 | 30% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 27% |
| Researcher | 8 | 15% |
| Student > Master | 6 | 12% |
| Student > Postgraduate | 5 | 10% |
| Student > Bachelor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 12 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 29% |
| Agricultural and Biological Sciences | 10 | 19% |
| Social Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Chemistry | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 15 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 20 April 2023.
All research outputs
#4,185,033
of 25,744,802 outputs
Outputs from BMC Bioinformatics
#1,356
of 7,740 outputs
Outputs of similar age
#79,041
of 366,243 outputs
Outputs of similar age from BMC Bioinformatics
#41
of 199 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,740 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 82% 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 366,243 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 78% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.