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PGTools: A Software Suite for Proteogenomic Data Analysis and Visualization

Overview of attention for article published in Journal of Proteome Research, April 2015
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
9 X users
googleplus
1 Google+ user

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
5 CiteULike
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Title
PGTools: A Software Suite for Proteogenomic Data Analysis and Visualization
Published in
Journal of Proteome Research, April 2015
DOI 10.1021/acs.jproteome.5b00029
Pubmed ID
Authors

Shivashankar H. Nagaraj, Nicola Waddell, Anil K. Madugundu, Scott Wood, Alun Jones, Ramya A. Mandyam, Katia Nones, John V. Pearson, Sean M. Grimmond

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Netherlands 1 1%
Turkey 1 1%
France 1 1%
Unknown 80 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 23%
Student > Ph. D. Student 19 22%
Student > Master 13 15%
Other 6 7%
Professor 5 6%
Other 13 15%
Unknown 10 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 33%
Agricultural and Biological Sciences 22 26%
Computer Science 6 7%
Chemistry 5 6%
Medicine and Dentistry 4 5%
Other 9 10%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 01 October 2015.
All research outputs
#2,803,879
of 26,017,215 outputs
Outputs from Journal of Proteome Research
#621
of 6,568 outputs
Outputs of similar age
#34,695
of 282,924 outputs
Outputs of similar age from Journal of Proteome Research
#8
of 96 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,568 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has done particularly well, scoring higher than 90% 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 282,924 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 87% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.