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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Collective Behaviour without Collective Order in Wild Swarms of Midges
|
|---|---|
| Published in |
PLoS Computational Biology, July 2014
|
| DOI | 10.1371/journal.pcbi.1003697 |
| Pubmed ID | |
| Authors |
Alessandro Attanasi, Andrea Cavagna, Lorenzo Del Castello, Irene Giardina, Stefania Melillo, Leonardo Parisi, Oliver Pohl, Bruno Rossaro, Edward Shen, Edmondo Silvestri, Massimiliano Viale |
X Demographics
The data shown below were collected from the profiles of 20 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 Kingdom | 3 | 15% |
| United States | 2 | 10% |
| Japan | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Hungary | 1 | 5% |
| Germany | 1 | 5% |
| Canada | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 9 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 75% |
| Scientists | 3 | 15% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Germany | 2 | <1% |
| United Kingdom | 2 | <1% |
| Portugal | 1 | <1% |
| Israel | 1 | <1% |
| Austria | 1 | <1% |
| France | 1 | <1% |
| China | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 202 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 25% |
| Researcher | 34 | 16% |
| Student > Master | 25 | 11% |
| Student > Bachelor | 15 | 7% |
| Professor > Associate Professor | 15 | 7% |
| Other | 36 | 17% |
| Unknown | 39 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Physics and Astronomy | 56 | 26% |
| Agricultural and Biological Sciences | 46 | 21% |
| Engineering | 24 | 11% |
| Computer Science | 17 | 8% |
| Environmental Science | 8 | 4% |
| Other | 24 | 11% |
| Unknown | 43 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 76. 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 21 April 2023.
All research outputs
#573,659
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#418
of 9,043 outputs
Outputs of similar age
#5,160
of 240,894 outputs
Outputs of similar age from PLoS Computational Biology
#4
of 166 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,043 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 particularly well, scoring higher than 95% 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 240,894 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 97% of its contemporaries.
We're also able to compare this research output to 166 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 97% of its contemporaries.