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Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers

Overview of attention for article published in Molecular Pain, November 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 669)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
17 X users
patent
1 patent
facebook
1 Facebook page
wikipedia
1 Wikipedia page
video
2 YouTube creators

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
415 Mendeley
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Title
Fibromyalgia: Genetics and epigenetics insights may provide the basis for the development of diagnostic biomarkers
Published in
Molecular Pain, November 2018
DOI 10.1177/1744806918819944
Pubmed ID
Authors

Simona D’Agnelli, Lars Arendt-Nielsen, Maria C Gerra, Katia Zatorri, Lorenzo Boggiani, Marco Baciarello, Elena Bignami

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 415 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 415 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 50 12%
Student > Master 41 10%
Researcher 29 7%
Student > Ph. D. Student 25 6%
Student > Doctoral Student 24 6%
Other 75 18%
Unknown 171 41%
Readers by discipline Count As %
Medicine and Dentistry 89 21%
Nursing and Health Professions 45 11%
Neuroscience 31 7%
Biochemistry, Genetics and Molecular Biology 26 6%
Psychology 10 2%
Other 45 11%
Unknown 169 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 27 May 2023.
All research outputs
#477,399
of 25,385,509 outputs
Outputs from Molecular Pain
#5
of 669 outputs
Outputs of similar age
#10,565
of 446,154 outputs
Outputs of similar age from Molecular Pain
#1
of 10 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 669 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 99% 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 446,154 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them