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X Demographics
Mendeley readers
Attention Score in Context
| Title |
OpenMS: a flexible open-source software platform for mass spectrometry data analysis
|
|---|---|
| Published in |
Nature Methods, August 2016
|
| DOI | 10.1038/nmeth.3959 |
| Pubmed ID | |
| Authors |
Hannes L Röst, Timo Sachsenberg, Stephan Aiche, Chris Bielow, Hendrik Weisser, Fabian Aicheler, Sandro Andreotti, Hans-Christian Ehrlich, Petra Gutenbrunner, Erhan Kenar, Xiao Liang, Sven Nahnsen, Lars Nilse, Julianus Pfeuffer, George Rosenberger, Marc Rurik, Uwe Schmitt, Johannes Veit, Mathias Walzer, David Wojnar, Witold E Wolski, Oliver Schilling, Jyoti S Choudhary, Lars Malmström, Ruedi Aebersold, Knut Reinert, Oliver Kohlbacher |
| Abstract |
High-resolution mass spectrometry (MS) has become an important tool in the life sciences, contributing to the diagnosis and understanding of human diseases, elucidating biomolecular structural information and characterizing cellular signaling networks. However, the rapid growth in the volume and complexity of MS data makes transparent, accurate and reproducible analysis difficult. We present OpenMS 2.0 (http://www.openms.de), a robust, open-source, cross-platform software specifically designed for the flexible and reproducible analysis of high-throughput MS data. The extensible OpenMS software implements common mass spectrometric data processing tasks through a well-defined application programming interface in C++ and Python and through standardized open data formats. OpenMS additionally provides a set of 185 tools and ready-made workflows for common mass spectrometric data processing tasks, which enable users to perform complex quantitative mass spectrometric analyses with ease. |
X Demographics
The data shown below were collected from the profiles of 38 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 | 6 | 16% |
| Germany | 6 | 16% |
| United Kingdom | 5 | 13% |
| France | 2 | 5% |
| Egypt | 1 | 3% |
| South Africa | 1 | 3% |
| Canada | 1 | 3% |
| Switzerland | 1 | 3% |
| Belgium | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 13 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 53% |
| Scientists | 17 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 699 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | <1% |
| United Kingdom | 4 | <1% |
| Germany | 3 | <1% |
| Switzerland | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| China | 1 | <1% |
| Unknown | 682 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 157 | 22% |
| Researcher | 132 | 19% |
| Student > Master | 77 | 11% |
| Student > Bachelor | 72 | 10% |
| Other | 32 | 5% |
| Other | 90 | 13% |
| Unknown | 139 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 158 | 23% |
| Agricultural and Biological Sciences | 120 | 17% |
| Chemistry | 99 | 14% |
| Computer Science | 38 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 29 | 4% |
| Other | 88 | 13% |
| Unknown | 167 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 35. 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 29 January 2024.
All research outputs
#1,181,887
of 26,017,215 outputs
Outputs from Nature Methods
#1,516
of 5,404 outputs
Outputs of similar age
#21,372
of 353,747 outputs
Outputs of similar age from Nature Methods
#25
of 93 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. 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 353,747 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 93 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 73% of its contemporaries.