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The transcript expression levels of HNRNPM, HNRNPA0 and AKAP17A splicing factors may be predictively associated with ageing phenotypes in human peripheral blood

Overview of attention for article published in Biogerontology, July 2019
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
44 Mendeley
Title
The transcript expression levels of HNRNPM, HNRNPA0 and AKAP17A splicing factors may be predictively associated with ageing phenotypes in human peripheral blood
Published in
Biogerontology, July 2019
DOI 10.1007/s10522-019-09819-0
Pubmed ID
Authors

Benjamin P. Lee, Luke C. Pilling, Stefania Bandinelli, Luigi Ferrucci, David Melzer, Lorna W. Harries

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 23%
Researcher 7 16%
Student > Ph. D. Student 6 14%
Student > Bachelor 4 9%
Professor 3 7%
Other 1 2%
Unknown 13 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 18%
Neuroscience 4 9%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Psychology 2 5%
Other 9 20%
Unknown 16 36%
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 15 July 2019.
All research outputs
#6,081,014
of 24,223,370 outputs
Outputs from Biogerontology
#223
of 687 outputs
Outputs of similar age
#102,271
of 349,904 outputs
Outputs of similar age from Biogerontology
#3
of 12 outputs
Altmetric has tracked 24,223,370 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 687 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 67% 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 349,904 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 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.