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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating relative abundances of proteins from shotgun proteomics data
|
|---|---|
| Published in |
BMC Bioinformatics, November 2012
|
| DOI | 10.1186/1471-2105-13-308 |
| Pubmed ID | |
| Authors |
Sean McIlwain, Michael Mathews, Michael S Bereman, Edwin W Rubel, Michael J MacCoss, William Stafford Noble |
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 % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Mexico | 1 | <1% |
| India | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 133 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 29% |
| Student > Ph. D. Student | 37 | 26% |
| Student > Master | 22 | 16% |
| Student > Doctoral Student | 7 | 5% |
| Professor > Associate Professor | 5 | 4% |
| Other | 12 | 9% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 38% |
| Biochemistry, Genetics and Molecular Biology | 33 | 24% |
| Computer Science | 8 | 6% |
| Environmental Science | 4 | 3% |
| Chemistry | 4 | 3% |
| Other | 15 | 11% |
| Unknown | 23 | 16% |
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 24 November 2012.
All research outputs
#17,932,284
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#5,787
of 7,793 outputs
Outputs of similar age
#197,950
of 289,722 outputs
Outputs of similar age from BMC Bioinformatics
#75
of 105 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 17th percentile – i.e., 17% 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 289,722 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.