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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An Information-Theoretic Characterization of the Optimal Gradient Sensing Response of Cells
|
|---|---|
| Published in |
PLoS Computational Biology, August 2007
|
| DOI | 10.1371/journal.pcbi.0030153 |
| Pubmed ID | |
| Authors |
Burton W Andrews, Pablo A Iglesias |
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% |
| Colombia | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Japan | 3 | 2% |
| United Kingdom | 3 | 2% |
| Germany | 1 | <1% |
| United Arab Emirates | 1 | <1% |
| Netherlands | 1 | <1% |
| Argentina | 1 | <1% |
| Unknown | 114 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 42 | 33% |
| Student > Ph. D. Student | 26 | 20% |
| Professor > Associate Professor | 18 | 14% |
| Student > Master | 8 | 6% |
| Student > Bachelor | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 47 | 37% |
| Physics and Astronomy | 33 | 26% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Engineering | 10 | 8% |
| Computer Science | 7 | 5% |
| Other | 11 | 9% |
| Unknown | 8 | 6% |
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 13 March 2017.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from PLoS Computational Biology
#7,951
of 8,958 outputs
Outputs of similar age
#70,633
of 76,109 outputs
Outputs of similar age from PLoS Computational Biology
#28
of 28 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,958 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 8th percentile – i.e., 8% 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 76,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.