↓ Skip to main content

Finding the missing honey bee genes: lessons learned from a genome upgrade

Overview of attention for article published in BMC Genomics, January 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
twitter
25 tweeters
patent
2 patents
facebook
2 Facebook pages

Citations

dimensions_citation
167 Dimensions

Readers on

mendeley
234 Mendeley
citeulike
3 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
Finding the missing honey bee genes: lessons learned from a genome upgrade
Published in
BMC Genomics, January 2014
DOI 10.1186/1471-2164-15-86
Pubmed ID
Authors

Elsik CG, Worley KC, Bennett AK, Beye M, Camara F, Childers CP, de Graaf DC, Debyser G, Deng J, Devreese B, Elhaik E, Evans JD, Foster LJ, Graur D, Guigo R, Hoff KJ, Holder ME, Hudson ME, Hunt GJ, Jiang H, Joshi V, Khetani RS, Kosarev P, Kovar CL, Ma J, Maleszka R, Moritz RF, Munoz-Torres MC, Murphy TD, Muzny DM, Newsham IF, Reese JT, Robertson HM, Robinson GE, Rueppell O, Solovyev V, Stanke M, Stolle E, Tsuruda JM, Van Vaerenbergh M, Waterhouse RM, Weaver DB, Whitfield CW, Wu Y, Zdobnov EM, Zhang L, Zhu D, Gibbs RA, Christine G Elsik, Kim C Worley, Anna K Bennett, Martin Beye, Francisco Camara, Christopher P Childers, Dirk C de Graaf, Griet Debyser, Jixin Deng, Bart Devreese, Eran Elhaik, Jay D Evans, Leonard J Foster, Dan Graur, Roderic Guigo, Katharina Hoff, Michael E Holder, Matthew E Hudson, Greg J Hunt, Huaiyang Jiang, Vandita Joshi, Radhika S Khetani, Peter Kosarev, Christie L Kovar, Jian Ma, Ryszard Maleszka, Robin F A Moritz, Monica C Munoz-Torres, Terence D Murphy, Donna M Muzny, Irene F Newsham, Justin T Reese, Hugh M Robertson, Gene E Robinson, Olav Rueppell, Victor Solovyev, Mario Stanke, Eckart Stolle, Jennifer M Tsuruda, Matthias Vaerenbergh, Robert M Waterhouse, Daniel B Weaver, Charles W Whitfield, Yuanqing Wu, Evgeny M Zdobnov, Lan Zhang, Dianhui Zhu, Richard A Gibbs, Katharina Jasmin Hoff, Matthias Van Vaerenbergh

Abstract

The first generation of genome sequence assemblies and annotations have had a significant impact upon our understanding of the biology of the sequenced species, the phylogenetic relationships among species, the study of populations within and across species, and have informed the biology of humans. As only a few Metazoan genomes are approaching finished quality (human, mouse, fly and worm), there is room for improvement of most genome assemblies. The honey bee (Apis mellifera) genome, published in 2006, was noted for its bimodal GC content distribution that affected the quality of the assembly in some regions and for fewer genes in the initial gene set (OGSv1.0) compared to what would be expected based on other sequenced insect genomes.

Twitter Demographics

The data shown below were collected from the profiles of 25 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
United Kingdom 5 2%
Germany 4 2%
Norway 2 <1%
Australia 2 <1%
Russian Federation 1 <1%
Denmark 1 <1%
Poland 1 <1%
Chile 1 <1%
Other 2 <1%
Unknown 209 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 28%
Researcher 54 23%
Student > Master 25 11%
Student > Bachelor 24 10%
Student > Doctoral Student 13 6%
Other 52 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 154 66%
Biochemistry, Genetics and Molecular Biology 40 17%
Unspecified 17 7%
Environmental Science 5 2%
Computer Science 3 1%
Other 15 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 26 January 2017.
All research outputs
#390,635
of 11,307,883 outputs
Outputs from BMC Genomics
#103
of 6,786 outputs
Outputs of similar age
#8,991
of 205,652 outputs
Outputs of similar age from BMC Genomics
#3
of 215 outputs
Altmetric has tracked 11,307,883 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,786 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 205,652 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 215 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 98% of its contemporaries.