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Transcriptomic Analysis of Human Retinal Detachment Reveals Both Inflammatory Response and Photoreceptor Death

Overview of attention for article published in PLOS ONE, December 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
1 X user
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Transcriptomic Analysis of Human Retinal Detachment Reveals Both Inflammatory Response and Photoreceptor Death
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0028791
Pubmed ID
Authors

Marie-Noëlle Delyfer, Wolfgang Raffelsberger, David Mercier, Jean-François Korobelnik, Alain Gaudric, David G. Charteris, Ramin Tadayoni, Florence Metge, Georges Caputo, Pierre-Olivier Barale, Raymond Ripp, Jean-Denis Muller, Olivier Poch, José-Alain Sahel, Thierry Léveillard

Abstract

Retinal detachment often leads to a severe and permanent loss of vision and its therapeutic management remains to this day exclusively surgical. We have used surgical specimens to perform a differential analysis of the transcriptome of human retinal tissues following detachment in order to identify new potential pharmacological targets that could be used in combination with surgery to further improve final outcome.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
United Kingdom 1 2%
Unknown 40 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 27%
Student > Ph. D. Student 9 22%
Other 7 17%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 4 10%
Unknown 5 12%
Readers by discipline Count As %
Medicine and Dentistry 14 34%
Agricultural and Biological Sciences 9 22%
Neuroscience 4 10%
Biochemistry, Genetics and Molecular Biology 3 7%
Materials Science 2 5%
Other 3 7%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 May 2022.
All research outputs
#4,483,348
of 22,659,164 outputs
Outputs from PLOS ONE
#61,223
of 193,435 outputs
Outputs of similar age
#38,107
of 240,792 outputs
Outputs of similar age from PLOS ONE
#605
of 2,922 outputs
Altmetric has tracked 22,659,164 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,435 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 68% 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 240,792 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 2,922 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.