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Mendeley readers
Attention Score in Context
| Title |
OpenMS – An open-source software framework for mass spectrometry
|
|---|---|
| Published in |
BMC Bioinformatics, March 2008
|
| DOI | 10.1186/1471-2105-9-163 |
| Pubmed ID | |
| Authors |
Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, Rene Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert, Oliver Kohlbacher |
Mendeley readers
The data shown below were compiled from readership statistics for 488 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 16 | 3% |
| United States | 5 | 1% |
| Canada | 3 | <1% |
| Switzerland | 2 | <1% |
| Netherlands | 2 | <1% |
| Belgium | 2 | <1% |
| Austria | 2 | <1% |
| Italy | 2 | <1% |
| Chile | 2 | <1% |
| Other | 12 | 2% |
| Unknown | 440 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 133 | 27% |
| Researcher | 118 | 24% |
| Student > Master | 58 | 12% |
| Student > Bachelor | 32 | 7% |
| Student > Doctoral Student | 17 | 3% |
| Other | 71 | 15% |
| Unknown | 59 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 145 | 30% |
| Computer Science | 68 | 14% |
| Biochemistry, Genetics and Molecular Biology | 63 | 13% |
| Chemistry | 57 | 12% |
| Medicine and Dentistry | 17 | 3% |
| Other | 60 | 12% |
| Unknown | 78 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 02 February 2023.
All research outputs
#3,781,846
of 23,269,984 outputs
Outputs from BMC Bioinformatics
#1,406
of 7,369 outputs
Outputs of similar age
#12,836
of 82,185 outputs
Outputs of similar age from BMC Bioinformatics
#7
of 48 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,369 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 well, scoring higher than 80% 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 82,185 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 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.