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A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data

Overview of attention for article published in BMC Bioinformatics, April 2006
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
1 CiteULike
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Title
A novel scoring schema for peptide identification by searching protein sequence databases using tandem mass spectrometry data
Published in
BMC Bioinformatics, April 2006
DOI 10.1186/1471-2105-7-222
Pubmed ID
Authors

Zhuo Zhang, Shiwei Sun, Xiaopeng Zhu, Suhua Chang, Xiaofei Liu, Chungong Yu, Dongbo Bu, Runsheng Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Turkey 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 6 20%
Professor > Associate Professor 5 17%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 6 20%
Unknown 4 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 50%
Computer Science 5 17%
Chemistry 3 10%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 October 2020.
All research outputs
#7,547,578
of 23,026,672 outputs
Outputs from BMC Bioinformatics
#3,041
of 7,316 outputs
Outputs of similar age
#23,353
of 66,480 outputs
Outputs of similar age from BMC Bioinformatics
#18
of 49 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,316 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 50% 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 66,480 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.