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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery
|
|---|---|
| Published in |
BMC Bioinformatics, October 2015
|
| DOI | 10.1186/s12859-015-0752-4 |
| Pubmed ID | |
| Authors |
H. López-Fernández, H. M. Santos, J. L. Capelo, F. Fdez-Riverola, D. Glez-Peña, M. Reboiro-Jato |
| Abstract |
Mass spectrometry is one of the most important techniques in the field of proteomics. MALDI-TOF mass spectrometry has become popular during the last decade due to its high speed and sensitivity for detecting proteins and peptides. MALDI-TOF-MS can be also used in combination with Machine Learning techniques and statistical methods for knowledge discovery. Although there are many software libraries and tools that can be combined for these kind of analysis, there is still a need for all-in-one solutions with graphical user-friendly interfaces and avoiding the need of programming skills. Mass-Up, an open software multiplatform application for MALDI-TOF-MS knowledge discovery is herein presented. Mass-Up software allows data preprocessing, as well as subsequent analysis including (i) biomarker discovery, (ii) clustering, (iii) biclustering, (iv) three-dimensional PCA visualization and (v) classification of large sets of spectra data. Mass-Up brings knowledge discovery within reach of MALDI-TOF-MS researchers. Mass-Up is distributed under license GPLv3 and it is open and free to all users at http://sing.ei.uvigo.es/mass-up . |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Brazil | 2 | 1% |
| United Kingdom | 1 | <1% |
| Croatia | 1 | <1% |
| Madagascar | 1 | <1% |
| Unknown | 141 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 23% |
| Student > Ph. D. Student | 26 | 18% |
| Student > Master | 17 | 11% |
| Student > Bachelor | 11 | 7% |
| Student > Doctoral Student | 9 | 6% |
| Other | 26 | 18% |
| Unknown | 25 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 15% |
| Biochemistry, Genetics and Molecular Biology | 19 | 13% |
| Computer Science | 17 | 11% |
| Chemistry | 16 | 11% |
| Medicine and Dentistry | 13 | 9% |
| Other | 26 | 18% |
| Unknown | 35 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 28 June 2017.
All research outputs
#4,976,104
of 24,594,795 outputs
Outputs from BMC Bioinformatics
#1,774
of 7,558 outputs
Outputs of similar age
#61,989
of 282,907 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 138 outputs
Altmetric has tracked 24,594,795 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,558 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 76% 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 282,907 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 78% of its contemporaries.
We're also able to compare this research output to 138 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 74% of its contemporaries.