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X Demographics
Mendeley readers
Attention Score in Context
Title |
A statistical model-building perspective to identification of MS/MS spectra with PeptideProphet
|
---|---|
Published in |
BMC Bioinformatics, November 2012
|
DOI | 10.1186/1471-2105-13-s16-s1 |
Pubmed ID | |
Authors |
Kelvin Ma, Olga Vitek, Alexey I Nesvizhskii |
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 | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 166 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 43 | 25% |
Student > Ph. D. Student | 37 | 22% |
Student > Master | 29 | 17% |
Student > Bachelor | 10 | 6% |
Student > Doctoral Student | 7 | 4% |
Other | 15 | 9% |
Unknown | 29 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 45 | 26% |
Biochemistry, Genetics and Molecular Biology | 41 | 24% |
Computer Science | 15 | 9% |
Chemistry | 11 | 6% |
Medicine and Dentistry | 6 | 4% |
Other | 19 | 11% |
Unknown | 33 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 21 October 2021.
All research outputs
#6,160,324
of 22,854,458 outputs
Outputs from BMC Bioinformatics
#2,326
of 7,292 outputs
Outputs of similar age
#46,140
of 183,608 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 112 outputs
Altmetric has tracked 22,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,292 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 67% 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 183,608 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 112 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.