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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Life at the mesoscale: the self-organised cytoplasm and nucleoplasm
|
|---|---|
| Published in |
BMC Biophysics, February 2015
|
| DOI | 10.1186/s13628-015-0018-6 |
| Pubmed ID | |
| Authors |
Richard P Sear, Ignacio Pagonabarraga, Andrew Flaus |
| Abstract |
The cell contains highly dynamic structures exploiting physical principles of self-organisation at the mesoscale (100 nm to 10 μm). Examples include non-membrane bound cytoplasmic bodies, cytoskeleton-based motor networks and multi-scale chromatin organisation. The challenges of mesoscale self-organisation were discussed at a CECAM workshop in July 2014. Biologists need approaches to observe highly dynamic, low affinity, low specificity associations and to perturb single structures, while biological physicists and biomathematicians need to work closely with biologists to build and validate quantitative models. A table of terminology is included to facilitate multidisciplinary efforts to reveal the richness and diversity of mesoscale cell biology. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 28% |
| Researcher | 10 | 26% |
| Student > Master | 3 | 8% |
| Professor | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 23% |
| Chemistry | 6 | 15% |
| Agricultural and Biological Sciences | 6 | 15% |
| Physics and Astronomy | 5 | 13% |
| Unspecified | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 4 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 17 July 2022.
All research outputs
#6,642,268
of 23,881,329 outputs
Outputs from BMC Biophysics
#21
of 57 outputs
Outputs of similar age
#72,647
of 257,472 outputs
Outputs of similar age from BMC Biophysics
#2
of 5 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 57 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 71% 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 257,472 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.