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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SPServer: split-statistical potentials for the analysis of protein structures and protein–protein interactions
|
|---|---|
| Published in |
BMC Bioinformatics, January 2021
|
| DOI | 10.1186/s12859-020-03770-5 |
| Pubmed ID | |
| Authors |
Joaquim Aguirre-Plans, Alberto Meseguer, Ruben Molina-Fernandez, Manuel Alejandro Marín-López, Gaurav Jumde, Kevin Casanova, Jaume Bonet, Oriol Fornes, Narcis Fernandez-Fuentes, Baldo Oliva |
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 % |
|---|---|---|
| Germany | 1 | 10% |
| Switzerland | 1 | 10% |
| Canada | 1 | 10% |
| India | 1 | 10% |
| Israel | 1 | 10% |
| Sweden | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 80% |
| Members of the public | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 31% |
| Student > Bachelor | 4 | 14% |
| Other | 3 | 10% |
| Student > Ph. D. Student | 2 | 7% |
| Unspecified | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 8 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Agricultural and Biological Sciences | 4 | 14% |
| Computer Science | 3 | 10% |
| Environmental Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 10 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 January 2021.
All research outputs
#5,863,359
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#2,118
of 7,400 outputs
Outputs of similar age
#140,835
of 505,223 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 141 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 71% 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 505,223 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 72% of its contemporaries.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.