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.
Mendeley readers
Attention Score in Context
| Title |
A Systems Approach Uncovers Restrictions for Signal Interactions Regulating Genome-wide Responses to Nutritional Cues in Arabidopsis
|
|---|---|
| Published in |
PLoS Computational Biology, March 2009
|
| DOI | 10.1371/journal.pcbi.1000326 |
| Pubmed ID | |
| Authors |
Gabriel Krouk, Daniel Tranchina, Laurence Lejay, Alexis A. Cruikshank, Dennis Shasha, Gloria M. Coruzzi, Rodrigo A. Gutiérrez |
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 % |
|---|---|---|
| Chile | 4 | 5% |
| United States | 2 | 2% |
| Brazil | 1 | 1% |
| India | 1 | 1% |
| Argentina | 1 | 1% |
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| China | 1 | 1% |
| Unknown | 73 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 36% |
| Student > Ph. D. Student | 19 | 22% |
| Professor > Associate Professor | 6 | 7% |
| Student > Master | 6 | 7% |
| Student > Doctoral Student | 5 | 6% |
| Other | 13 | 15% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 73% |
| Biochemistry, Genetics and Molecular Biology | 6 | 7% |
| Environmental Science | 3 | 4% |
| Economics, Econometrics and Finance | 2 | 2% |
| Medicine and Dentistry | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 4 | 5% |
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 03 January 2020.
All research outputs
#6,791,936
of 25,972,223 outputs
Outputs from PLoS Computational Biology
#4,606
of 9,091 outputs
Outputs of similar age
#32,091
of 109,789 outputs
Outputs of similar age from PLoS Computational Biology
#23
of 52 outputs
Altmetric has tracked 25,972,223 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 9,091 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one is in the 49th percentile – i.e., 49% 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 109,789 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 52 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 55% of its contemporaries.