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XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry

Overview of attention for article published in BMC Bioinformatics, October 2014
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Mentioned by

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1 Facebook page

Citations

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6 Dimensions

Readers on

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36 Mendeley
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Title
XLPM: efficient algorithm for the analysis of protein-protein contacts using chemical cross-linking mass spectrometry
Published in
BMC Bioinformatics, October 2014
DOI 10.1186/1471-2105-15-s11-s16
Authors

Mihir Jaiswal, Nathaniel Mark Crabtree, Michael A Bauer, Roger Hall, Kevin D Raney, Boris L Zybailov

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 35 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 25%
Student > Ph. D. Student 7 19%
Student > Master 5 14%
Student > Bachelor 4 11%
Student > Doctoral Student 3 8%
Other 8 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 39%
Chemistry 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Computer Science 5 14%
Engineering 2 6%
Other 2 6%
Unknown 2 6%

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 October 2014.
All research outputs
#3,425,487
of 4,412,571 outputs
Outputs from BMC Bioinformatics
#2,261
of 2,599 outputs
Outputs of similar age
#91,793
of 121,979 outputs
Outputs of similar age from BMC Bioinformatics
#118
of 132 outputs
Altmetric has tracked 4,412,571 research outputs across all sources so far. This one is in the 2nd percentile – i.e., 2% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,599 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 1st percentile – i.e., 1% 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 121,979 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.