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Overview of attention for article published in Genome Biology (Online Edition), January 2007
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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 (77th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
patent
1 patent

Citations

dimensions_citation
280 Dimensions

Readers on

mendeley
180 Mendeley
citeulike
6 CiteULike
connotea
3 Connotea
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Title
Published in
Genome Biology (Online Edition), January 2007
DOI 10.1186/gb-2007-8-1-r13
Pubmed ID
Authors

Christine G Elsik, Aaron J Mackey, Justin T Reese, Natalia V Milshina, David S Roos, George M Weinstock

Abstract

We wished to produce a single reference gene set for honey bee (Apis mellifera). Our motivation was twofold. First, we wished to obtain an improved set of gene models with increased coverage of known genes, while maintaining gene model quality. Second, we wished to provide a single official gene list that the research community could further utilize for consistent and comparable analyses and functional annotation.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Sweden 2 1%
New Zealand 2 1%
United Kingdom 1 <1%
Italy 1 <1%
Egypt 1 <1%
Denmark 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 3 2%
Unknown 162 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 24%
Researcher 44 24%
Student > Master 22 12%
Student > Bachelor 15 8%
Professor > Associate Professor 11 6%
Other 29 16%
Unknown 15 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 116 64%
Biochemistry, Genetics and Molecular Biology 19 11%
Computer Science 8 4%
Environmental Science 3 2%
Business, Management and Accounting 3 2%
Other 10 6%
Unknown 21 12%

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 21 August 2018.
All research outputs
#4,196,487
of 17,367,552 outputs
Outputs from Genome Biology (Online Edition)
#2,341
of 3,593 outputs
Outputs of similar age
#36,673
of 162,145 outputs
Outputs of similar age from Genome Biology (Online Edition)
#25
of 36 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one is in the 34th percentile – i.e., 34% 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 162,145 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 77% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.