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Biomarkers from circulating neutrophil transcriptomes have potential to detect unruptured intracranial aneurysms

Overview of attention for article published in Journal of Translational Medicine, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
5 X users
patent
1 patent

Citations

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28 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Biomarkers from circulating neutrophil transcriptomes have potential to detect unruptured intracranial aneurysms
Published in
Journal of Translational Medicine, December 2018
DOI 10.1186/s12967-018-1749-3
Pubmed ID
Authors

Vincent M. Tutino, Kerry E. Poppenberg, Lu Li, Hussain Shallwani, Kaiyu Jiang, James N. Jarvis, Yijun Sun, Kenneth V. Snyder, Elad I. Levy, Adnan H. Siddiqui, John Kolega, Hui Meng

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 12%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 5 12%
Researcher 4 10%
Student > Master 3 7%
Other 5 12%
Unknown 14 34%
Readers by discipline Count As %
Medicine and Dentistry 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Nursing and Health Professions 3 7%
Computer Science 3 7%
Neuroscience 3 7%
Other 6 15%
Unknown 18 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 May 2023.
All research outputs
#5,021,171
of 23,862,416 outputs
Outputs from Journal of Translational Medicine
#851
of 4,243 outputs
Outputs of similar age
#110,515
of 443,079 outputs
Outputs of similar age from Journal of Translational Medicine
#13
of 98 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,243 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 78% 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 443,079 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 74% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.