↓ Skip to main content

Building the basis for proteomics in personalized medicine for targeted treatment

Overview of attention for article published in Clinical and Translational Medicine, May 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
11 Mendeley
Title
Building the basis for proteomics in personalized medicine for targeted treatment
Published in
Clinical and Translational Medicine, May 2016
DOI 10.1186/s40169-016-0096-3
Pubmed ID
Authors

Ho Jeong Kwon, Thomas E. Fehniger, György Marko‐Varga

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 18%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Other 1 9%
Student > Ph. D. Student 1 9%
Other 3 27%
Unknown 1 9%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Agricultural and Biological Sciences 2 18%
Chemistry 2 18%
Immunology and Microbiology 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Other 0 0%
Unknown 2 18%

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 14 June 2016.
All research outputs
#9,433,981
of 15,414,285 outputs
Outputs from Clinical and Translational Medicine
#123
of 243 outputs
Outputs of similar age
#138,212
of 268,156 outputs
Outputs of similar age from Clinical and Translational Medicine
#1
of 1 outputs
Altmetric has tracked 15,414,285 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 46th percentile – i.e., 46% 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 268,156 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them