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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2923-1 |
| Pubmed ID | |
| Authors |
Ludovica Montanucci, Emidio Capriotti, Yotam Frank, Nir Ben-Tal, Piero Fariselli |
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 % |
|---|---|---|
| United Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 24% |
| Researcher | 11 | 11% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Student > Postgraduate | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 31 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 31% |
| Agricultural and Biological Sciences | 10 | 10% |
| Computer Science | 7 | 7% |
| Chemistry | 5 | 5% |
| Physics and Astronomy | 3 | 3% |
| Other | 11 | 11% |
| Unknown | 34 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 09 July 2019.
All research outputs
#19,292,491
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#6,486
of 7,454 outputs
Outputs of similar age
#262,550
of 350,415 outputs
Outputs of similar age from BMC Bioinformatics
#140
of 161 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 5th percentile – i.e., 5% 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 350,415 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 161 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.