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Investigation of post-transcriptional gene regulatory networks associated with autism spectrum disorders by microRNA expression profiling of lymphoblastoid cell lines

Overview of attention for article published in Genome Medicine, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
168 Dimensions

Readers on

mendeley
205 Mendeley
citeulike
1 CiteULike
connotea
2 Connotea
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Title
Investigation of post-transcriptional gene regulatory networks associated with autism spectrum disorders by microRNA expression profiling of lymphoblastoid cell lines
Published in
Genome Medicine, January 2010
DOI 10.1186/gm144
Pubmed ID
Authors

Tewarit Sarachana, Rulun Zhou, Guang Chen, Husseini K Manji, Valerie W Hu

Mendeley readers

The data shown below were compiled from readership statistics for 205 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Italy 2 <1%
Brazil 2 <1%
United Kingdom 2 <1%
China 2 <1%
Germany 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 188 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 21%
Student > Ph. D. Student 39 19%
Student > Master 24 12%
Student > Bachelor 16 8%
Student > Doctoral Student 15 7%
Other 45 22%
Unknown 22 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 35%
Biochemistry, Genetics and Molecular Biology 30 15%
Medicine and Dentistry 27 13%
Neuroscience 18 9%
Psychology 12 6%
Other 20 10%
Unknown 27 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 December 2021.
All research outputs
#4,326,313
of 21,352,585 outputs
Outputs from Genome Medicine
#859
of 1,354 outputs
Outputs of similar age
#91,875
of 341,877 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,352,585 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.9. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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 341,877 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 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them