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A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry

Overview of attention for article published in BMC Bioinformatics, March 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
3 CiteULike
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Title
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
Published in
BMC Bioinformatics, March 2010
DOI 10.1186/1471-2105-11-118
Pubmed ID
Authors

Chongle Pan, Byung H Park, William H McDonald, Patricia A Carey, Jillian F Banfield, Nathan C VerBerkmoes, Robert L Hettich, Nagiza F Samatova

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Germany 3 2%
South Africa 2 1%
Brazil 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Australia 1 <1%
Unknown 126 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 46 33%
Student > Ph. D. Student 25 18%
Student > Master 14 10%
Student > Bachelor 11 8%
Other 8 6%
Other 16 12%
Unknown 19 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 32%
Biochemistry, Genetics and Molecular Biology 32 23%
Chemistry 14 10%
Computer Science 8 6%
Engineering 5 4%
Other 17 12%
Unknown 19 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 26 November 2010.
All research outputs
#3,288,565
of 22,881,154 outputs
Outputs from BMC Bioinformatics
#1,225
of 7,298 outputs
Outputs of similar age
#13,042
of 93,674 outputs
Outputs of similar age from BMC Bioinformatics
#8
of 60 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,298 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 done well, scoring higher than 82% 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 93,674 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 83% of its contemporaries.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.