↓ Skip to main content

Identification and analysis of miRNAs in human breast cancer and teratoma samples using deep sequencing

Overview of attention for article published in BMC Medical Genomics, June 2009
Altmetric Badge

Mentioned by

patent
3 patents

Citations

dimensions_citation
43 Dimensions

Readers on

mendeley
68 Mendeley
citeulike
9 CiteULike
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
Identification and analysis of miRNAs in human breast cancer and teratoma samples using deep sequencing
Published in
BMC Medical Genomics, June 2009
DOI 10.1186/1755-8794-2-35
Pubmed ID
Authors

Sanne Nygaard, Anders Jacobsen, Morten Lindow, Jens Eriksen, Eva Balslev, Henrik Flyger, Niels Tolstrup, Søren Møller, Anders Krogh, Thomas Litman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Denmark 2 3%
Germany 1 1%
Mexico 1 1%
Egypt 1 1%
Iran, Islamic Republic of 1 1%
Argentina 1 1%
Unknown 59 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Researcher 20 29%
Professor > Associate Professor 6 9%
Student > Master 6 9%
Other 3 4%
Other 8 12%
Unknown 5 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 54%
Biochemistry, Genetics and Molecular Biology 11 16%
Medicine and Dentistry 9 13%
Computer Science 3 4%
Immunology and Microbiology 1 1%
Other 3 4%
Unknown 4 6%
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 30 August 2022.
All research outputs
#7,610,011
of 23,202,641 outputs
Outputs from BMC Medical Genomics
#371
of 1,243 outputs
Outputs of similar age
#38,594
of 113,560 outputs
Outputs of similar age from BMC Medical Genomics
#5
of 11 outputs
Altmetric has tracked 23,202,641 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,243 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 65% 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 113,560 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.