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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Detecting Microglial Density With Quantitative Multi-Compartment Diffusion MRI
|
|---|---|
| Published in |
Frontiers in Neuroscience, February 2019
|
| DOI | 10.3389/fnins.2019.00081 |
| Pubmed ID | |
| Authors |
Sue Y. Yi, Brian R. Barnett, Maribel Torres-Velázquez, Yuxin Zhang, Samuel A. Hurley, Paul A. Rowley, Diego Hernando, John-Paul J. Yu |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 22% |
| Researcher | 19 | 18% |
| Student > Master | 11 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Student > Postgraduate | 4 | 4% |
| Other | 13 | 12% |
| Unknown | 29 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 26 | 24% |
| Medicine and Dentistry | 10 | 9% |
| Engineering | 8 | 7% |
| Psychology | 6 | 6% |
| Agricultural and Biological Sciences | 6 | 6% |
| Other | 7 | 7% |
| Unknown | 44 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 March 2019.
All research outputs
#16,061,963
of 25,394,764 outputs
Outputs from Frontiers in Neuroscience
#7,070
of 11,544 outputs
Outputs of similar age
#211,866
of 366,845 outputs
Outputs of similar age from Frontiers in Neuroscience
#227
of 374 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 366,845 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 374 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.