Title |
Integrated functional networks of process, tissue, and developmental stage specific interactions in Arabidopsis thaliana
|
---|---|
Published in |
BMC Systems Biology, December 2010
|
DOI | 10.1186/1752-0509-4-180 |
Pubmed ID | |
Authors |
Ana Pop, Curtis Huttenhower, Anjali Iyer-Pascuzzi, Philip N Benfey, Olga G Troyanskaya |
Abstract |
Recent years have seen an explosion in plant genomics, as the difficulties inherent in sequencing and functionally analyzing these biologically and economically significant organisms have been overcome. Arabidopsis thaliana, a versatile model organism, represents an opportunity to evaluate the predictive power of biological network inference for plant functional genomics. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 12% |
United Kingdom | 2 | 2% |
Hong Kong | 1 | 1% |
Sweden | 1 | 1% |
Singapore | 1 | 1% |
Chile | 1 | 1% |
Argentina | 1 | 1% |
Slovenia | 1 | 1% |
Unknown | 67 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 29 | 34% |
Researcher | 24 | 28% |
Student > Bachelor | 6 | 7% |
Student > Master | 5 | 6% |
Student > Doctoral Student | 4 | 5% |
Other | 13 | 15% |
Unknown | 4 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 56 | 66% |
Computer Science | 11 | 13% |
Biochemistry, Genetics and Molecular Biology | 5 | 6% |
Mathematics | 2 | 2% |
Business, Management and Accounting | 1 | 1% |
Other | 4 | 5% |
Unknown | 6 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 23 September 2011.
All research outputs
#15,234,609
of 22,651,245 outputs
Outputs from BMC Systems Biology
#644
of 1,142 outputs
Outputs of similar age
#139,741
of 179,839 outputs
Outputs of similar age from BMC Systems Biology
#26
of 39 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 32nd percentile – i.e., 32% 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 179,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.