↓ Skip to main content

Methodologies for Transcript Profiling Using Long-Read Technologies

Overview of attention for article published in Frontiers in Genetics, July 2020
Altmetric Badge

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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
204 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
Methodologies for Transcript Profiling Using Long-Read Technologies
Published in
Frontiers in Genetics, July 2020
DOI 10.3389/fgene.2020.00606
Pubmed ID
Authors

Spyros Oikonomopoulos, Anthony Bayega, Somayyeh Fahiminiya, Haig Djambazian, Pierre Berube, Jiannis Ragoussis

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 204 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 18%
Researcher 36 18%
Student > Master 23 11%
Student > Bachelor 19 9%
Student > Doctoral Student 7 3%
Other 28 14%
Unknown 54 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 61 30%
Agricultural and Biological Sciences 37 18%
Medicine and Dentistry 8 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 2%
Immunology and Microbiology 4 2%
Other 24 12%
Unknown 66 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 2021.
All research outputs
#2,273,858
of 25,483,400 outputs
Outputs from Frontiers in Genetics
#524
of 13,738 outputs
Outputs of similar age
#62,093
of 431,130 outputs
Outputs of similar age from Frontiers in Genetics
#15
of 412 outputs
Altmetric has tracked 25,483,400 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,738 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 96% 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 431,130 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 85% of its contemporaries.
We're also able to compare this research output to 412 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 96% of its contemporaries.