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 |
Do Humans Optimally Exploit Redundancy to Control Step Variability in Walking?
|
|---|---|
| Published in |
PLoS Computational Biology, July 2010
|
| DOI | 10.1371/journal.pcbi.1000856 |
| Pubmed ID | |
| Authors |
Jonathan B. Dingwell, Joby John, Joseph P. Cusumano |
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 % |
|---|---|---|
| United States | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 3% |
| Germany | 4 | 1% |
| Japan | 4 | 1% |
| France | 2 | <1% |
| Sweden | 2 | <1% |
| United Kingdom | 2 | <1% |
| Netherlands | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 249 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 27% |
| Researcher | 50 | 18% |
| Student > Master | 27 | 10% |
| Professor > Associate Professor | 25 | 9% |
| Student > Bachelor | 23 | 8% |
| Other | 52 | 19% |
| Unknown | 28 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 79 | 28% |
| Sports and Recreations | 38 | 14% |
| Neuroscience | 30 | 11% |
| Medicine and Dentistry | 19 | 7% |
| Agricultural and Biological Sciences | 18 | 6% |
| Other | 47 | 17% |
| Unknown | 49 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 11 August 2021.
All research outputs
#1,768,493
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#1,506
of 9,003 outputs
Outputs of similar age
#5,934
of 105,270 outputs
Outputs of similar age from PLoS Computational Biology
#6
of 64 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 83% 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 105,270 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 94% of its contemporaries.
We're also able to compare this research output to 64 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 90% of its contemporaries.