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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Proteomics, lipidomics, metabolomics: a mass spectrometry tutorial from a computer scientist's point of view
|
|---|---|
| Published in |
BMC Bioinformatics, May 2014
|
| DOI | 10.1186/1471-2105-15-s7-s9 |
| Pubmed ID | |
| Authors |
Rob Smith, Andrew D Mathis, Dan Ventura, John T Prince |
| Abstract |
For decades, mass spectrometry data has been analyzed to investigate a wide array of research interests, including disease diagnostics, biological and chemical theory, genomics, and drug development. Progress towards solving any of these disparate problems depends upon overcoming the common challenge of interpreting the large data sets generated. Despite interim successes, many data interpretation problems in mass spectrometry are still challenging. Further, though these challenges are inherently interdisciplinary in nature, the significant domain-specific knowledge gap between disciplines makes interdisciplinary contributions difficult. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 345 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% |
| Denmark | 2 | <1% |
| South Africa | 2 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| Austria | 1 | <1% |
| Russia | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 324 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 84 | 24% |
| Researcher | 67 | 19% |
| Student > Master | 44 | 13% |
| Student > Bachelor | 33 | 10% |
| Other | 17 | 5% |
| Other | 37 | 11% |
| Unknown | 63 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 21% |
| Biochemistry, Genetics and Molecular Biology | 53 | 15% |
| Chemistry | 50 | 14% |
| Computer Science | 28 | 8% |
| Medicine and Dentistry | 19 | 6% |
| Other | 52 | 15% |
| Unknown | 70 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 September 2020.
All research outputs
#17,728,060
of 22,765,347 outputs
Outputs from BMC Bioinformatics
#5,928
of 7,273 outputs
Outputs of similar age
#155,141
of 226,687 outputs
Outputs of similar age from BMC Bioinformatics
#104
of 153 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 226,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.