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Glucocorticoid-driven transcriptomes in human airway epithelial cells: commonalities, differences and functional insight from cell lines and primary cells

Overview of attention for article published in BMC Medical Genomics, January 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
57 Mendeley
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Title
Glucocorticoid-driven transcriptomes in human airway epithelial cells: commonalities, differences and functional insight from cell lines and primary cells
Published in
BMC Medical Genomics, January 2019
DOI 10.1186/s12920-018-0467-2
Pubmed ID
Authors

Mahmoud M. Mostafa, Christopher F. Rider, Suharsh Shah, Suzanne L. Traves, Paul M. K. Gordon, Anna Miller-Larsson, Richard Leigh, Robert Newton

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 7 12%
Student > Master 5 9%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 5 9%
Unknown 19 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 32%
Medicine and Dentistry 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Agricultural and Biological Sciences 3 5%
Environmental Science 2 4%
Other 6 11%
Unknown 20 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 02 February 2019.
All research outputs
#13,283,817
of 23,125,690 outputs
Outputs from BMC Medical Genomics
#472
of 1,238 outputs
Outputs of similar age
#207,281
of 437,790 outputs
Outputs of similar age from BMC Medical Genomics
#20
of 46 outputs
Altmetric has tracked 23,125,690 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,238 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 60% 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 437,790 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 51% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.