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Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry

Overview of attention for article published in Genome Biology, December 2004
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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 (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

policy
1 policy source
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
271 Dimensions

Readers on

mendeley
202 Mendeley
citeulike
2 CiteULike
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Title
Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry
Published in
Genome Biology, December 2004
DOI 10.1186/gb-2004-6-1-r9
Pubmed ID
Authors

Frank Desiere, Eric W Deutsch, Alexey I Nesvizhskii, Parag Mallick, Nichole L King, Jimmy K Eng, Alan Aderem, Rose Boyle, Erich Brunner, Samuel Donohoe, Nelson Fausto, Ernst Hafen, Lee Hood, Michael G Katze, Kathleen A Kennedy, Floyd Kregenow, Hookeun Lee, Biaoyang Lin, Dan Martin, Jeffrey A Ranish, David J Rawlings, Lawrence E Samelson, Yuzuru Shiio, Julian D Watts, Bernd Wollscheid, Michael E Wright, Wei Yan, Lihong Yang, Eugene C Yi, Hui Zhang, Ruedi Aebersold

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 3 1%
Switzerland 2 <1%
Germany 2 <1%
Spain 2 <1%
Italy 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Other 3 1%
Unknown 185 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 27%
Student > Ph. D. Student 51 25%
Student > Master 19 9%
Student > Bachelor 12 6%
Professor > Associate Professor 12 6%
Other 34 17%
Unknown 19 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 89 44%
Biochemistry, Genetics and Molecular Biology 29 14%
Chemistry 19 9%
Computer Science 13 6%
Medicine and Dentistry 11 5%
Other 16 8%
Unknown 25 12%
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 13 June 2016.
All research outputs
#3,798,611
of 25,373,627 outputs
Outputs from Genome Biology
#2,558
of 4,467 outputs
Outputs of similar age
#10,890
of 149,825 outputs
Outputs of similar age from Genome Biology
#9
of 27 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 42nd percentile – i.e., 42% 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 149,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 27 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 62% of its contemporaries.