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Whole genome sequencing in cats, identifies new models for blindness in AIPL1 and somite segmentation in HES7

Overview of attention for article published in BMC Genomics, March 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
6 X users
facebook
2 Facebook pages

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Whole genome sequencing in cats, identifies new models for blindness in AIPL1 and somite segmentation in HES7
Published in
BMC Genomics, March 2016
DOI 10.1186/s12864-016-2595-4
Pubmed ID
Authors

Leslie A. Lyons, Erica K. Creighton, Hasan Alhaddad, Holly C. Beale, Robert A. Grahn, HyungChul Rah, David J. Maggs, Christopher R. Helps, Barbara Gandolfi

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 23%
Student > Ph. D. Student 10 19%
Other 5 9%
Student > Bachelor 5 9%
Student > Master 3 6%
Other 6 11%
Unknown 12 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 25%
Biochemistry, Genetics and Molecular Biology 12 23%
Veterinary Science and Veterinary Medicine 9 17%
Physics and Astronomy 2 4%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 December 2016.
All research outputs
#2,710,214
of 26,017,215 outputs
Outputs from BMC Genomics
#782
of 11,400 outputs
Outputs of similar age
#42,638
of 319,182 outputs
Outputs of similar age from BMC Genomics
#15
of 228 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,400 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 93% 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 319,182 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 228 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.