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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 659)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
17 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page
video
2 video uploaders

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
403 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

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 17 tweeters 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 403 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 403 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 51 13%
Student > Master 41 10%
Unspecified 29 7%
Researcher 27 7%
Student > Ph. D. Student 23 6%
Other 95 24%
Unknown 137 34%
Readers by discipline Count As %
Medicine and Dentistry 90 22%
Nursing and Health Professions 48 12%
Neuroscience 29 7%
Unspecified 25 6%
Biochemistry, Genetics and Molecular Biology 24 6%
Other 50 12%
Unknown 137 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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
#468,788
of 24,490,209 outputs
Outputs from Molecular Pain
#5
of 659 outputs
Outputs of similar age
#10,794
of 446,965 outputs
Outputs of similar age from Molecular Pain
#1
of 11 outputs
Altmetric has tracked 24,490,209 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 659 research outputs from this source. They receive a mean Attention Score of 5.0. 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 446,965 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 11 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.