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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Application of an interpretable classification model on Early Folding Residues during protein folding
|
|---|---|
| Published in |
BioData Mining, January 2019
|
| DOI | 10.1186/s13040-018-0188-2 |
| Authors |
Sebastian Bittrich, Marika Kaden, Christoph Leberecht, Florian Kaiser, Thomas Villmann, Dirk Labudde |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 33% |
| Student > Ph. D. Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Lecturer | 1 | 4% |
| Student > Doctoral Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 30% |
| Engineering | 5 | 19% |
| Mathematics | 1 | 4% |
| Chemistry | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 11 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 10 January 2019.
All research outputs
#13,945,718
of 23,122,481 outputs
Outputs from BioData Mining
#196
of 310 outputs
Outputs of similar age
#222,190
of 435,934 outputs
Outputs of similar age from BioData Mining
#5
of 7 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 310 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 435,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.