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X Demographics
Mendeley readers
Attention Score in Context
Title |
GENCODE: producing a reference annotation for ENCODE
|
---|---|
Published in |
Genome Biology, August 2006
|
DOI | 10.1186/gb-2006-7-s1-s4 |
Pubmed ID | |
Authors |
Jennifer Harrow, France Denoeud, Adam Frankish, Alexandre Reymond, Chao-Kung Chen, Jacqueline Chrast, Julien Lagarde, James GR Gilbert, Roy Storey, David Swarbreck, Colette Rossier, Catherine Ucla, Tim Hubbard, Stylianos E Antonarakis, Roderic Guigo |
Abstract |
The GENCODE consortium was formed to identify and map all protein-coding genes within the ENCODE regions. This was achieved by a combination of initial manual annotation by the HAVANA team, experimental validation by the GENCODE consortium and a refinement of the annotation based on these experimental results. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 3% |
Germany | 3 | <1% |
Spain | 3 | <1% |
United Kingdom | 3 | <1% |
Netherlands | 2 | <1% |
Hungary | 2 | <1% |
Sweden | 1 | <1% |
Brazil | 1 | <1% |
Austria | 1 | <1% |
Other | 4 | 1% |
Unknown | 330 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 102 | 28% |
Researcher | 80 | 22% |
Student > Master | 32 | 9% |
Student > Bachelor | 31 | 9% |
Professor > Associate Professor | 16 | 4% |
Other | 55 | 15% |
Unknown | 44 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 142 | 39% |
Biochemistry, Genetics and Molecular Biology | 81 | 23% |
Computer Science | 29 | 8% |
Medicine and Dentistry | 22 | 6% |
Neuroscience | 8 | 2% |
Other | 24 | 7% |
Unknown | 54 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 20 December 2020.
All research outputs
#6,753,240
of 25,371,288 outputs
Outputs from Genome Biology
#3,158
of 4,467 outputs
Outputs of similar age
#27,413
of 93,459 outputs
Outputs of similar age from Genome Biology
#14
of 27 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd 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 28th percentile – i.e., 28% 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 93,459 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.