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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Individualization as Driving Force of Clustering Phenomena in Humans
|
|---|---|
| Published in |
PLoS Computational Biology, October 2010
|
| DOI | 10.1371/journal.pcbi.1000959 |
| Pubmed ID | |
| Authors |
Michael Mäs, Andreas Flache, Dirk Helbing |
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 % |
|---|---|---|
| United States | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 2% |
| Switzerland | 2 | 1% |
| Netherlands | 2 | 1% |
| Spain | 2 | 1% |
| France | 1 | <1% |
| United Kingdom | 1 | <1% |
| China | 1 | <1% |
| Portugal | 1 | <1% |
| New Zealand | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 145 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 42 | 26% |
| Researcher | 28 | 18% |
| Student > Master | 17 | 11% |
| Professor | 11 | 7% |
| Other | 9 | 6% |
| Other | 32 | 20% |
| Unknown | 21 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 33 | 21% |
| Computer Science | 25 | 16% |
| Agricultural and Biological Sciences | 14 | 9% |
| Physics and Astronomy | 9 | 6% |
| Engineering | 9 | 6% |
| Other | 43 | 27% |
| Unknown | 27 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 25 August 2023.
All research outputs
#3,331,944
of 25,736,439 outputs
Outputs from PLoS Computational Biology
#2,903
of 9,028 outputs
Outputs of similar age
#13,265
of 109,426 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 62 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,028 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one has gotten more attention than average, scoring higher than 67% 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 109,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.