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 |
QUINT: Workflow for Quantification and Spatial Analysis of Features in Histological Images From Rodent Brain
|
|---|---|
| Published in |
Frontiers in Neuroinformatics, December 2019
|
| DOI | 10.3389/fninf.2019.00075 |
| Pubmed ID | |
| Authors |
Sharon C. Yates, Nicolaas E. Groeneboom, Christopher Coello, Stefan F. Lichtenthaler, Peer-Hendrik Kuhn, Hans-Ulrich Demuth, Maike Hartlage-Rübsamen, Steffen Roßner, Trygve Leergaard, Anna Kreshuk, Maja A. Puchades, Jan G. Bjaalie |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 50% |
| Unknown | 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 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 | 21 | 20% |
| Researcher | 20 | 19% |
| Student > Bachelor | 10 | 9% |
| Professor | 5 | 5% |
| Other | 4 | 4% |
| Other | 11 | 10% |
| Unknown | 36 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 31 | 29% |
| Biochemistry, Genetics and Molecular Biology | 12 | 11% |
| Medicine and Dentistry | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Engineering | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 37 | 35% |
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 27 February 2020.
All research outputs
#15,063,168
of 23,182,015 outputs
Outputs from Frontiers in Neuroinformatics
#524
of 759 outputs
Outputs of similar age
#262,389
of 459,136 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#8
of 10 outputs
Altmetric has tracked 23,182,015 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 759 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 27th percentile – i.e., 27% 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 459,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.