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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimal Noise Filtering in the Chemotactic Response of Escherichia coli
|
|---|---|
| Published in |
PLoS Computational Biology, October 2006
|
| DOI | 10.1371/journal.pcbi.0020154 |
| Pubmed ID | |
| Authors |
Burton W Andrews, Tau-Mu Yi, Pablo A Iglesias |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 33% |
| Germany | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 2% |
| United States | 3 | 2% |
| Japan | 2 | 1% |
| United Kingdom | 2 | 1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| France | 1 | <1% |
| Netherlands | 1 | <1% |
| India | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 120 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 27% |
| Researcher | 28 | 21% |
| Professor > Associate Professor | 15 | 11% |
| Professor | 9 | 7% |
| Student > Bachelor | 8 | 6% |
| Other | 24 | 18% |
| Unknown | 15 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 44 | 32% |
| Physics and Astronomy | 22 | 16% |
| Biochemistry, Genetics and Molecular Biology | 15 | 11% |
| Engineering | 12 | 9% |
| Mathematics | 8 | 6% |
| Other | 15 | 11% |
| Unknown | 20 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 March 2019.
All research outputs
#17,078,482
of 25,874,560 outputs
Outputs from PLoS Computational Biology
#7,294
of 9,062 outputs
Outputs of similar age
#78,022
of 88,039 outputs
Outputs of similar age from PLoS Computational Biology
#30
of 34 outputs
Altmetric has tracked 25,874,560 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,062 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 16th percentile – i.e., 16% 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 88,039 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.