↓ Skip to main content

Transcriptome reconstruction and annotation of cynomolgus and African green monkey

Overview of attention for article published in BMC Genomics, October 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
5 X users
reddit
1 Redditor

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
32 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
Transcriptome reconstruction and annotation of cynomolgus and African green monkey
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-846
Pubmed ID
Authors

Albert Lee, Hossein Khiabanian, Jeffrey Kugelman, Oliver Elliott, Elyse Nagle, Guo-Yun Yu, Travis Warren, Gustavo Palacios, Raul Rabadan

Abstract

Non-human primates (NHPs) and humans share major biological mechanisms, functions, and responses due to their close evolutionary relationship and, as such, provide ideal animal models to study human diseases. RNA expression in NHPs provides specific signatures that are informative of disease mechanisms and therapeutic modes of action. Unlike the human transcriptome, the transcriptomes of major NHP animal models are yet to be comprehensively annotated.

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 3%
South Africa 1 3%
Unknown 30 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 31%
Other 5 16%
Student > Doctoral Student 4 13%
Student > Master 4 13%
Student > Ph. D. Student 3 9%
Other 6 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 41%
Biochemistry, Genetics and Molecular Biology 7 22%
Immunology and Microbiology 4 13%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 06 October 2014.
All research outputs
#6,976,484
of 23,577,761 outputs
Outputs from BMC Genomics
#3,098
of 10,787 outputs
Outputs of similar age
#72,892
of 255,646 outputs
Outputs of similar age from BMC Genomics
#55
of 203 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 10,787 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 71% 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 255,646 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 71% of its contemporaries.
We're also able to compare this research output to 203 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 72% of its contemporaries.