| Title |
Pyteomics—a Python Framework for Exploratory Data Analysis and Rapid Software Prototyping in Proteomics
|
|---|---|
| Published in |
Journal of the American Society for Mass Spectrometry, January 2013
|
| DOI | 10.1007/s13361-012-0516-6 |
| Pubmed ID | |
| Authors |
Anton A. Goloborodko, Lev I. Levitsky, Mark V. Ivanov, Mikhail V. Gorshkov |
| Abstract |
Pyteomics is a cross-platform, open-source Python library providing a rich set of tools for MS-based proteomics. It provides modules for reading LC-MS/MS data, search engine output, protein sequence databases, theoretical prediction of retention times, electrochemical properties of polypeptides, mass and m/z calculations, and sequence parsing. Pyteomics is available under Apache license; release versions are available at the Python Package Index http://pypi.python.org/pyteomics, the source code repository at http://hg.theorchromo.ru/pyteomics, documentation at http://packages.python.org/pyteomics. Pyteomics.biolccc documentation is available at http://packages.python.org/pyteomics.biolccc/. Questions on installation and usage can be addressed to pyteomics mailing list: [email protected]. |
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 % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 3 | 2% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Unknown | 132 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 28% |
| Researcher | 22 | 16% |
| Student > Master | 21 | 15% |
| Student > Bachelor | 13 | 9% |
| Professor | 5 | 4% |
| Other | 21 | 15% |
| Unknown | 18 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 25% |
| Biochemistry, Genetics and Molecular Biology | 25 | 18% |
| Chemistry | 18 | 13% |
| Computer Science | 10 | 7% |
| Medicine and Dentistry | 5 | 4% |
| Other | 21 | 15% |
| Unknown | 25 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 07 September 2023.
All research outputs
#4,814,222
of 25,998,826 outputs
Outputs from Journal of the American Society for Mass Spectrometry
#436
of 3,908 outputs
Outputs of similar age
#46,993
of 295,273 outputs
Outputs of similar age from Journal of the American Society for Mass Spectrometry
#3
of 17 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,908 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 88% 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 295,273 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 84% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.