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Urinary MicroRNA Profiling in the Nephropathy of Type 1 Diabetes

Overview of attention for article published in PLOS ONE, January 2013
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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
6 X users
facebook
1 Facebook page

Citations

dimensions_citation
149 Dimensions

Readers on

mendeley
113 Mendeley
citeulike
2 CiteULike
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Title
Urinary MicroRNA Profiling in the Nephropathy of Type 1 Diabetes
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0054662
Pubmed ID
Authors

Christos Argyropoulos, Kai Wang, Sara McClarty, David Huang, Jose Bernardo, Demetrius Ellis, Trevor Orchard, David Galas, John Johnson

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
United States 1 <1%
Unknown 111 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 21%
Researcher 19 17%
Student > Master 15 13%
Student > Bachelor 10 9%
Professor 5 4%
Other 19 17%
Unknown 21 19%
Readers by discipline Count As %
Medicine and Dentistry 29 26%
Biochemistry, Genetics and Molecular Biology 22 19%
Agricultural and Biological Sciences 21 19%
Engineering 4 4%
Nursing and Health Professions 3 3%
Other 9 8%
Unknown 25 22%
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 02 July 2017.
All research outputs
#14,602,413
of 25,703,943 outputs
Outputs from PLOS ONE
#127,310
of 223,999 outputs
Outputs of similar age
#164,317
of 290,058 outputs
Outputs of similar age from PLOS ONE
#2,451
of 5,030 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223,999 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. 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 290,058 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5,030 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 50% of its contemporaries.