| Title |
Self-organization in brain tumors: How cell morphology and cell density influence glioma pattern formation
|
|---|---|
| Published in |
PLoS Computational Biology, May 2020
|
| DOI | 10.1371/journal.pcbi.1007611 |
| Pubmed ID | |
| Authors |
Sara Jamous, Andrea Comba, Pedro R. Lowenstein, Sebastien Motsch |
X Demographics
The data shown below were collected from the profiles of 24 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 | 11 | 46% |
| France | 2 | 8% |
| Germany | 1 | 4% |
| Australia | 1 | 4% |
| Canada | 1 | 4% |
| Portugal | 1 | 4% |
| Unknown | 7 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 54% |
| Scientists | 10 | 42% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Ph. D. Student | 4 | 10% |
| Professor | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 4 | 10% |
| Sports and Recreations | 3 | 7% |
| Engineering | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Physics and Astronomy | 3 | 7% |
| Other | 11 | 26% |
| Unknown | 15 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 05 May 2023.
All research outputs
#1,400,023
of 25,387,668 outputs
Outputs from PLoS Computational Biology
#1,176
of 8,962 outputs
Outputs of similar age
#40,123
of 415,071 outputs
Outputs of similar age from PLoS Computational Biology
#26
of 187 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,962 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 86% 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 415,071 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 90% of its contemporaries.
We're also able to compare this research output to 187 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.