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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-115 |
| Pubmed ID | |
| Authors |
Sean O'Callaghan, David P De Souza, Andrew Isaac, Qiao Wang, Luke Hodkinson, Moshe Olshansky, Tim Erwin, Bill Appelbe, Dedreia L Tull, Ute Roessner, Antony Bacic, Malcolm J McConville, Vladimir A Likić |
| Abstract |
Gas chromatography-mass spectrometry (GC-MS) is a technique frequently used in targeted and non-targeted measurements of metabolites. Most existing software tools for processing of raw instrument GC-MS data tightly integrate data processing methods with graphical user interface facilitating interactive data processing. While interactive processing remains critically important in GC-MS applications, high-throughput studies increasingly dictate the need for command line tools, suitable for scripting of high-throughput, customized processing pipelines. |
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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 2 | <1% |
| United States | 2 | <1% |
| Australia | 2 | <1% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Germany | 1 | <1% |
| Denmark | 1 | <1% |
| Switzerland | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 200 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 24% |
| Student > Ph. D. Student | 49 | 23% |
| Student > Master | 20 | 9% |
| Student > Bachelor | 12 | 6% |
| Other | 11 | 5% |
| Other | 28 | 13% |
| Unknown | 41 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 50 | 23% |
| Chemistry | 39 | 18% |
| Biochemistry, Genetics and Molecular Biology | 19 | 9% |
| Computer Science | 14 | 7% |
| Engineering | 14 | 7% |
| Other | 34 | 16% |
| Unknown | 43 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 10 November 2022.
All research outputs
#5,618,410
of 23,072,295 outputs
Outputs from BMC Bioinformatics
#2,011
of 7,323 outputs
Outputs of similar age
#38,718
of 165,947 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 106 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,323 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 gotten more attention than average, scoring higher than 72% 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 165,947 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 76% of its contemporaries.
We're also able to compare this research output to 106 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 67% of its contemporaries.