↓ Skip to main content

Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle

Overview of attention for article published in BMC Genomic Data, January 2019
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
26 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
Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle
Published in
BMC Genomic Data, January 2019
DOI 10.1186/s12863-019-0717-0
Pubmed ID
Authors

Zexi Cai, Bernt Guldbrandtsen, Mogens Sandø Lund, Goutam Sahana

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 27%
Student > Ph. D. Student 6 23%
Student > Master 3 12%
Student > Doctoral Student 1 4%
Lecturer > Senior Lecturer 1 4%
Other 1 4%
Unknown 7 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 42%
Veterinary Science and Veterinary Medicine 3 12%
Environmental Science 1 4%
Linguistics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 2 8%
Unknown 7 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 01 February 2019.
All research outputs
#15,526,423
of 25,385,509 outputs
Outputs from BMC Genomic Data
#505
of 1,204 outputs
Outputs of similar age
#242,303
of 447,230 outputs
Outputs of similar age from BMC Genomic Data
#7
of 16 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,204 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 57% 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 447,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 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 56% of its contemporaries.