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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
|
|---|---|
| Published in |
BMC Bioinformatics, July 2010
|
| DOI | 10.1186/1471-2105-11-395 |
| Pubmed ID | |
| Authors |
Tomáš Pluskal, Sandra Castillo, Alejandro Villar-Briones, Matej Orešič |
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 % |
|---|---|---|
| Sweden | 1 | 25% |
| Germany | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,027 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | <1% |
| Germany | 6 | <1% |
| Brazil | 5 | <1% |
| Switzerland | 4 | <1% |
| Denmark | 4 | <1% |
| United Kingdom | 3 | <1% |
| Netherlands | 3 | <1% |
| Spain | 3 | <1% |
| Finland | 2 | <1% |
| Other | 15 | <1% |
| Unknown | 1973 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 462 | 23% |
| Researcher | 335 | 17% |
| Student > Master | 272 | 13% |
| Student > Bachelor | 177 | 9% |
| Student > Doctoral Student | 110 | 5% |
| Other | 259 | 13% |
| Unknown | 412 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 394 | 19% |
| Agricultural and Biological Sciences | 387 | 19% |
| Biochemistry, Genetics and Molecular Biology | 312 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 69 | 3% |
| Environmental Science | 67 | 3% |
| Other | 273 | 13% |
| Unknown | 525 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 03 April 2024.
All research outputs
#1,276,245
of 25,837,817 outputs
Outputs from BMC Bioinformatics
#129
of 7,763 outputs
Outputs of similar age
#3,840
of 105,886 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 54 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 98% 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 105,886 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 96% of its contemporaries.
We're also able to compare this research output to 54 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 98% of its contemporaries.