| Title |
Open access to tree genomes: the path to a better forest
|
|---|---|
| Published in |
Genome Biology, June 2013
|
| DOI | 10.1186/gb-2013-14-6-120 |
| Pubmed ID | |
| Authors |
David B Neale, Charles H Langley, Steven L Salzberg, Jill L Wegrzyn |
| Abstract |
An open-access culture and a well-developed comparative-genomics infrastructure must be developed in forest trees to derive the full potential of genome sequencing in this diverse group of plants that are the dominant species in much of the earth's terrestrial ecosystems. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| Italy | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 3 | 50% |
| Members of the public | 2 | 33% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 2 | 2% |
| United States | 2 | 2% |
| Argentina | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Greece | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 85 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 31% |
| Student > Ph. D. Student | 19 | 20% |
| Student > Master | 14 | 15% |
| Student > Bachelor | 6 | 6% |
| Professor | 5 | 5% |
| Other | 12 | 13% |
| Unknown | 8 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 54 | 58% |
| Biochemistry, Genetics and Molecular Biology | 15 | 16% |
| Computer Science | 3 | 3% |
| Engineering | 3 | 3% |
| Environmental Science | 2 | 2% |
| Other | 5 | 5% |
| Unknown | 11 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2017.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#71,386
of 209,149 outputs
Outputs of similar age from Genome Biology
#50
of 67 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 14th percentile – i.e., 14% 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 209,149 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.