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Mendeley readers
Attention Score in Context
| Title |
Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas
|
|---|---|
| Published in |
Genome Biology, November 2006
|
| DOI | 10.1186/gb-2006-7-11-r106 |
| Pubmed ID | |
| Authors |
Nichole L King, Eric W Deutsch, Jeffrey A Ranish, Alexey I Nesvizhskii, James S Eddes, Parag Mallick, Jimmy Eng, Frank Desiere, Mark Flory, Daniel B Martin, Bong Kim, Hookeun Lee, Brian Raught, Ruedi Aebersold |
| Abstract |
We present the Saccharomyces cerevisiae PeptideAtlas composed from 47 diverse experiments and 4.9 million tandem mass spectra. The observed peptides align to 61% of Saccharomyces Genome Database (SGD) open reading frames (ORFs), 49% of the uncharacterized SGD ORFs, 54% of S. cerevisiae ORFs with a Gene Ontology annotation of 'molecular function unknown', and 76% of ORFs with Gene names. We highlight the use of this resource for data mining, construction of high quality lists for targeted proteomics, validation of proteins, and software development. |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Italy | 1 | 1% |
| France | 1 | 1% |
| Unknown | 68 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 32% |
| Student > Ph. D. Student | 17 | 24% |
| Professor | 5 | 7% |
| Professor > Associate Professor | 5 | 7% |
| Student > Master | 5 | 7% |
| Other | 10 | 14% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 50% |
| Computer Science | 9 | 13% |
| Chemistry | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 7 | 10% |
| Medicine and Dentistry | 2 | 3% |
| Other | 4 | 6% |
| Unknown | 6 | 8% |
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 20 November 2011.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Genome Biology
#4,394
of 4,467 outputs
Outputs of similar age
#84,051
of 86,549 outputs
Outputs of similar age from Genome Biology
#23
of 23 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 1st percentile – i.e., 1% 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 86,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.