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.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic data integration for ecological and evolutionary traits in non-model organisms
|
|---|---|
| Published in |
BMC Genomics, July 2014
|
| DOI | 10.1186/1471-2164-15-490 |
| Pubmed ID | |
| Authors |
Denis Tagu, John K Colbourne, Nicolas Nègre |
| Abstract |
Why is it needed to develop system biology initiatives such as ENCODE on non-model organisms? |
X Demographics
The data shown below were collected from the profiles of 26 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 | 5 | 19% |
| Spain | 3 | 12% |
| United Kingdom | 3 | 12% |
| India | 1 | 4% |
| Germany | 1 | 4% |
| Hong Kong | 1 | 4% |
| Chile | 1 | 4% |
| Sweden | 1 | 4% |
| Colombia | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 46% |
| Members of the public | 9 | 35% |
| Science communicators (journalists, bloggers, editors) | 4 | 15% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Switzerland | 1 | <1% |
| Germany | 1 | <1% |
| Finland | 1 | <1% |
| Norway | 1 | <1% |
| Unknown | 117 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 31% |
| Researcher | 28 | 23% |
| Student > Master | 20 | 16% |
| Professor | 7 | 6% |
| Professor > Associate Professor | 7 | 6% |
| Other | 14 | 11% |
| Unknown | 9 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 59% |
| Biochemistry, Genetics and Molecular Biology | 25 | 20% |
| Computer Science | 4 | 3% |
| Environmental Science | 4 | 3% |
| Medicine and Dentistry | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 11 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 42. 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 04 August 2017.
All research outputs
#1,008,192
of 25,718,113 outputs
Outputs from BMC Genomics
#126
of 11,308 outputs
Outputs of similar age
#9,132
of 228,158 outputs
Outputs of similar age from BMC Genomics
#2
of 285 outputs
Altmetric has tracked 25,718,113 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 11,308 research outputs from this source. They receive a mean Attention Score of 4.8. 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 228,158 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 96% of its contemporaries.
We're also able to compare this research output to 285 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 99% of its contemporaries.