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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Creating a honey bee consensus gene set
|
|---|---|
| Published in |
Genome Biology, 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. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 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 | 167 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 45 | 24% |
| Student > Ph. D. Student | 44 | 24% |
| Student > Master | 21 | 11% |
| Student > Bachelor | 14 | 8% |
| Professor > Associate Professor | 11 | 6% |
| Other | 31 | 17% |
| Unknown | 19 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 117 | 63% |
| Biochemistry, Genetics and Molecular Biology | 18 | 10% |
| Computer Science | 8 | 4% |
| Environmental Science | 3 | 2% |
| Business, Management and Accounting | 3 | 2% |
| Other | 11 | 6% |
| Unknown | 25 | 14% |
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
#6,373,276
of 25,373,627 outputs
Outputs from Genome Biology
#3,049
of 4,467 outputs
Outputs of similar age
#34,989
of 172,060 outputs
Outputs of similar age from Genome Biology
#9
of 21 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th 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 31st percentile – i.e., 31% 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 172,060 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 79% of its contemporaries.
We're also able to compare this research output to 21 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 57% of its contemporaries.