↓ Skip to main content

Automated Analysis and Reannotation of Subcellular Locations in Confocal Images from the Human Protein Atlas

Overview of attention for article published in PLOS ONE, November 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Automated Analysis and Reannotation of Subcellular Locations in Confocal Images from the Human Protein Atlas
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0050514
Pubmed ID
Authors

Jieyue Li, Justin Y. Newberg, Mathias Uhlén, Emma Lundberg, Robert F. Murphy

Abstract

The Human Protein Atlas contains immunofluorescence images showing subcellular locations for thousands of proteins. These are currently annotated by visual inspection. In this paper, we describe automated approaches to analyze the images and their use to improve annotation. We began by training classifiers to recognize the annotated patterns. By ranking proteins according to the confidence of the classifier, we generated a list of proteins that were strong candidates for reexamination. In parallel, we applied hierarchical clustering to group proteins and identified proteins whose annotations were inconsistent with the remainder of the proteins in their cluster. These proteins were reexamined by the original annotators, and a significant fraction had their annotations changed. The results demonstrate that automated approaches can provide an important complement to visual annotation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Colombia 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 32%
Researcher 9 20%
Professor 3 7%
Professor > Associate Professor 3 7%
Student > Master 3 7%
Other 7 16%
Unknown 5 11%
Readers by discipline Count As %
Computer Science 11 25%
Agricultural and Biological Sciences 11 25%
Medicine and Dentistry 4 9%
Engineering 4 9%
Chemistry 2 5%
Other 5 11%
Unknown 7 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 November 2018.
All research outputs
#13,876,749
of 22,687,320 outputs
Outputs from PLOS ONE
#111,831
of 193,653 outputs
Outputs of similar age
#162,109
of 276,634 outputs
Outputs of similar age from PLOS ONE
#2,415
of 4,722 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 40th percentile – i.e., 40% 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 276,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,722 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.