↓ Skip to main content

Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment

Overview of attention for article published in BMC Genomics, May 2022
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
17 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Prioritization of risk genes in multiple sclerosis by a refined Bayesian framework followed by tissue-specificity and cell type feature assessment
Published in
BMC Genomics, May 2022
DOI 10.1186/s12864-022-08580-y
Pubmed ID
Authors

Andi Liu, Astrid M. Manuel, Yulin Dai, Zhongming Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 12%
Researcher 2 12%
Student > Ph. D. Student 2 12%
Student > Bachelor 1 6%
Professor 1 6%
Other 0 0%
Unknown 9 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 18%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Nursing and Health Professions 1 6%
Agricultural and Biological Sciences 1 6%
Social Sciences 1 6%
Other 2 12%
Unknown 8 47%
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
#4,645,845
of 23,312,088 outputs
Outputs from BMC Genomics
#1,913
of 10,742 outputs
Outputs of similar age
#103,137
of 442,571 outputs
Outputs of similar age from BMC Genomics
#23
of 190 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 81% 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 442,571 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 76% of its contemporaries.
We're also able to compare this research output to 190 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.