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Mendeley readers
Attention Score in Context
| Title |
Morphometric characterization of microglial phenotypes in human cerebral cortex
|
|---|---|
| Published in |
Journal of Neuroinflammation, January 2014
|
| DOI | 10.1186/1742-2094-11-12 |
| Pubmed ID | |
| Authors |
Susana G Torres-Platas, Samuel Comeau, Adeline Rachalski, Gregory Dal Bo, Cristiana Cruceanu, Gustavo Turecki, Bruno Giros, Naguib Mechawar |
| Abstract |
Microglia can adopt different morphologies, ranging from a highly ramified to an amoeboid-like phenotype. Although morphological properties of microglia have been described in rodents, little is known about their fine features in humans. The aim of this study was to characterize the morphometric properties of human microglia in gray and white matter of dorsal anterior cingulate cortex (dACC), a region implicated in behavioral adaptation to neuroinflammation. These properties were compared to those of murine microglia in order to gain a better appreciation of the differences displayed by these cells across species. |
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 | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 369 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| Romania | 1 | <1% |
| China | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 364 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 76 | 21% |
| Student > Master | 54 | 15% |
| Student > Bachelor | 50 | 14% |
| Researcher | 47 | 13% |
| Student > Doctoral Student | 21 | 6% |
| Other | 44 | 12% |
| Unknown | 77 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 96 | 26% |
| Agricultural and Biological Sciences | 62 | 17% |
| Medicine and Dentistry | 42 | 11% |
| Biochemistry, Genetics and Molecular Biology | 28 | 8% |
| Immunology and Microbiology | 12 | 3% |
| Other | 35 | 9% |
| Unknown | 94 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 May 2023.
All research outputs
#3,928,780
of 23,746,606 outputs
Outputs from Journal of Neuroinflammation
#786
of 2,738 outputs
Outputs of similar age
#46,381
of 309,625 outputs
Outputs of similar age from Journal of Neuroinflammation
#12
of 62 outputs
Altmetric has tracked 23,746,606 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,738 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. 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 309,625 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 84% 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 82% of its contemporaries.