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Next-generation sequencing identifies equine cartilage and subchondral bone miRNAs and suggests their involvement in osteochondrosis physiopathology

Overview of attention for article published in BMC Genomics, September 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 X users

Citations

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34 Dimensions

Readers on

mendeley
60 Mendeley
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Title
Next-generation sequencing identifies equine cartilage and subchondral bone miRNAs and suggests their involvement in osteochondrosis physiopathology
Published in
BMC Genomics, September 2014
DOI 10.1186/1471-2164-15-798
Pubmed ID
Authors

Clémence Desjardin, Anne Vaiman, Xavier Mata, Rachel Legendre, Johan Laubier, Sean P Kennedy, Denis Laloe, Eric Barrey, Claire Jacques, Edmond P Cribiu, Laurent Schibler

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Ph. D. Student 10 17%
Student > Master 7 12%
Student > Bachelor 4 7%
Other 4 7%
Other 13 22%
Unknown 8 13%
Readers by discipline Count As %
Medicine and Dentistry 14 23%
Agricultural and Biological Sciences 13 22%
Veterinary Science and Veterinary Medicine 12 20%
Biochemistry, Genetics and Molecular Biology 7 12%
Arts and Humanities 1 2%
Other 6 10%
Unknown 7 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 September 2014.
All research outputs
#14,923,136
of 26,017,215 outputs
Outputs from BMC Genomics
#5,002
of 11,367 outputs
Outputs of similar age
#124,626
of 262,442 outputs
Outputs of similar age from BMC Genomics
#116
of 291 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 55% 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 262,442 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 52% of its contemporaries.
We're also able to compare this research output to 291 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 60% of its contemporaries.