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Evaluation of microRNA expression in a sheep model for lung fibrosis

Overview of attention for article published in BMC Genomics, November 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
7 Mendeley
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Title
Evaluation of microRNA expression in a sheep model for lung fibrosis
Published in
BMC Genomics, November 2021
DOI 10.1186/s12864-021-08073-4
Pubmed ID
Authors

Udari Eshani Perera, Habtamu B. Derseh, Sasika N. V. Dewage, Andrew Stent, Rukmali Wijayarathna, Kenneth J. Snibson

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 29%
Student > Bachelor 1 14%
Librarian 1 14%
Unknown 3 43%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Arts and Humanities 1 14%
Medicine and Dentistry 1 14%
Unknown 3 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 19 November 2021.
All research outputs
#6,410,748
of 23,344,526 outputs
Outputs from BMC Genomics
#2,751
of 10,745 outputs
Outputs of similar age
#140,954
of 510,828 outputs
Outputs of similar age from BMC Genomics
#38
of 150 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 10,745 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 74% 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 510,828 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 72% of its contemporaries.
We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.