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X Demographics
Mendeley readers
Attention Score in Context
Title |
Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm
|
---|---|
Published in |
BMC Bioinformatics, January 2021
|
DOI | 10.1186/s12859-020-03881-z |
Pubmed ID | |
Authors |
Pedro M. Martins, Lucianna H. Santos, Diego Mariano, Felippe C. Queiroz, Luana L. Bastos, Isabela de S. Gomes, Pedro H. C. Fischer, Rafael E. O. Rocha, Sabrina A. Silveira, Leonardo H. F. de Lima, Mariana T. Q. de Magalhães, Maria G. A. Oliveira, Raquel C. de Melo-Minardi |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 25% |
Sweden | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 79 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 19% |
Researcher | 11 | 14% |
Student > Master | 8 | 10% |
Student > Bachelor | 7 | 9% |
Other | 4 | 5% |
Other | 8 | 10% |
Unknown | 26 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 19% |
Chemistry | 8 | 10% |
Agricultural and Biological Sciences | 6 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 5 | 6% |
Computer Science | 4 | 5% |
Other | 11 | 14% |
Unknown | 30 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 18 April 2024.
All research outputs
#2,145,733
of 23,628,742 outputs
Outputs from BMC Bioinformatics
#535
of 7,410 outputs
Outputs of similar age
#59,731
of 504,970 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 143 outputs
Altmetric has tracked 23,628,742 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,410 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 done particularly well, scoring higher than 92% 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 504,970 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 88% of its contemporaries.
We're also able to compare this research output to 143 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.