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Detailed analysis of 15q11-q14 sequence corrects errors and gaps in the public access sequence to fully reveal large segmental duplications at breakpoints for Prader-Willi, Angelman, and inv dup(15…

Overview of attention for article published in Genome Biology, June 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
4 X users
patent
1 patent

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
49 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
Detailed analysis of 15q11-q14 sequence corrects errors and gaps in the public access sequence to fully reveal large segmental duplications at breakpoints for Prader-Willi, Angelman, and inv dup(15) syndromes
Published in
Genome Biology, June 2007
DOI 10.1186/gb-2007-8-6-r114
Pubmed ID
Authors

Andrew J Makoff, Rachel H Flomen

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Netherlands 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 16%
Researcher 8 16%
Student > Ph. D. Student 7 14%
Other 5 10%
Student > Doctoral Student 3 6%
Other 8 16%
Unknown 10 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 33%
Medicine and Dentistry 8 16%
Biochemistry, Genetics and Molecular Biology 7 14%
Psychology 2 4%
Social Sciences 2 4%
Other 2 4%
Unknown 12 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 21 November 2023.
All research outputs
#6,929,013
of 25,371,288 outputs
Outputs from Genome Biology
#3,196
of 4,467 outputs
Outputs of similar age
#25,558
of 81,226 outputs
Outputs of similar age from Genome Biology
#23
of 48 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 28th percentile – i.e., 28% 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 81,226 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 68% of its contemporaries.
We're also able to compare this research output to 48 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 52% of its contemporaries.