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Functional transcriptome analysis of the postnatal brain of the Ts1Cje mouse model for Down syndrome reveals global disruption of interferon-related molecular networks

Overview of attention for article published in BMC Genomics, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
58 Mendeley
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Title
Functional transcriptome analysis of the postnatal brain of the Ts1Cje mouse model for Down syndrome reveals global disruption of interferon-related molecular networks
Published in
BMC Genomics, July 2014
DOI 10.1186/1471-2164-15-624
Pubmed ID
Authors

King-Hwa Ling, Chelsee A Hewitt, Kai-Leng Tan, Pike-See Cheah, Sharmili Vidyadaran, Mei-I Lai, Han-Chung Lee, Ken Simpson, Lavinia Hyde, Melanie A Pritchard, Gordon K Smyth, Tim Thomas, Hamish S Scott

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Brazil 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 24%
Researcher 9 16%
Student > Master 7 12%
Other 5 9%
Professor > Associate Professor 5 9%
Other 8 14%
Unknown 10 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 34%
Biochemistry, Genetics and Molecular Biology 9 16%
Neuroscience 6 10%
Medicine and Dentistry 4 7%
Psychology 3 5%
Other 3 5%
Unknown 13 22%
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 15 June 2023.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from BMC Genomics
#3,907
of 11,244 outputs
Outputs of similar age
#78,940
of 239,413 outputs
Outputs of similar age from BMC Genomics
#96
of 276 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 239,413 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 53% of its contemporaries.
We're also able to compare this research output to 276 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 63% of its contemporaries.