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X Demographics
Mendeley readers
Attention Score in Context
| Title |
iPBAvizu: a PyMOL plugin for an efficient 3D protein structure superimposition approach
|
|---|---|
| Published in |
Source Code for Biology and Medicine, November 2019
|
| DOI | 10.1186/s13029-019-0075-3 |
| Pubmed ID | |
| Authors |
Guilhem Faure, Agnel Praveen Joseph, Pierrick Craveur, Tarun J. Narwani, Narayanaswamy Srinivasan, Jean-Christophe Gelly, Joseph Rebehmed, Alexandre G. de Brevern |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Ph. D. Student | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Professor | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 14 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 45% |
| Agricultural and Biological Sciences | 5 | 12% |
| Computer Science | 2 | 5% |
| Mathematics | 1 | 2% |
| Environmental Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 13 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 November 2019.
All research outputs
#13,305,494
of 23,172,045 outputs
Outputs from Source Code for Biology and Medicine
#57
of 127 outputs
Outputs of similar age
#173,700
of 363,756 outputs
Outputs of similar age from Source Code for Biology and Medicine
#1
of 1 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 127 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 55% 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 363,756 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 51% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them