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The use of proteomic biomarkers for improved diagnosis and stratification of schizophrenia patients

Overview of attention for article published in Biomarkers in Medicine, January 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
53 Mendeley
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Title
The use of proteomic biomarkers for improved diagnosis and stratification of schizophrenia patients
Published in
Biomarkers in Medicine, January 2014
DOI 10.2217/bmm.13.83
Pubmed ID
Authors

Paul C Guest, Man K Chan, Michael G Gottschalk, Sabine Bahn

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 21%
Student > Master 7 13%
Researcher 7 13%
Student > Postgraduate 6 11%
Student > Doctoral Student 5 9%
Other 10 19%
Unknown 7 13%
Readers by discipline Count As %
Medicine and Dentistry 13 25%
Psychology 10 19%
Agricultural and Biological Sciences 6 11%
Biochemistry, Genetics and Molecular Biology 4 8%
Neuroscience 3 6%
Other 5 9%
Unknown 12 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 February 2019.
All research outputs
#7,228,217
of 22,846,662 outputs
Outputs from Biomarkers in Medicine
#166
of 698 outputs
Outputs of similar age
#87,839
of 305,581 outputs
Outputs of similar age from Biomarkers in Medicine
#5
of 18 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 698 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 75% 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 305,581 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 18 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 66% of its contemporaries.