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Translation of upstream open reading frames in a model of neuronal differentiation

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

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
5 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
35 Mendeley
Title
Translation of upstream open reading frames in a model of neuronal differentiation
Published in
BMC Genomics, May 2019
DOI 10.1186/s12864-019-5775-1
Pubmed ID
Authors

Caitlin M. Rodriguez, Sang Y. Chun, Ryan E. Mills, Peter K. Todd

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 31%
Researcher 8 23%
Student > Bachelor 5 14%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Other 3 9%
Unknown 2 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 54%
Agricultural and Biological Sciences 9 26%
Neuroscience 2 6%
Immunology and Microbiology 1 3%
Chemical Engineering 1 3%
Other 0 0%
Unknown 3 9%

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 29 June 2019.
All research outputs
#8,045,654
of 15,341,807 outputs
Outputs from BMC Genomics
#3,546
of 8,695 outputs
Outputs of similar age
#112,608
of 266,167 outputs
Outputs of similar age from BMC Genomics
#8
of 22 outputs
Altmetric has tracked 15,341,807 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,695 research outputs from this source. They receive a mean Attention Score of 4.3. 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 266,167 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 57% of its contemporaries.
We're also able to compare this research output to 22 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 59% of its contemporaries.