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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Neurophotonics Approaches for the Study of Pattern Separation
|
|---|---|
| Published in |
Frontiers in Neural Circuits, June 2020
|
| DOI | 10.3389/fncir.2020.00026 |
| Pubmed ID | |
| Authors |
Cristian Morales, Juan Facundo Morici, Magdalena Miranda, Francisco Tomás Gallo, Pedro Bekinschtein, Noelia V. Weisstaub |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 13% |
| Finland | 1 | 13% |
| Switzerland | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 63% |
| Scientists | 2 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Doctoral Student | 3 | 12% |
| Lecturer | 2 | 8% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 38% |
| Nursing and Health Professions | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Psychology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 23 July 2020.
All research outputs
#2,889,372
of 25,889,720 outputs
Outputs from Frontiers in Neural Circuits
#135
of 1,304 outputs
Outputs of similar age
#77,399
of 435,684 outputs
Outputs of similar age from Frontiers in Neural Circuits
#11
of 27 outputs
Altmetric has tracked 25,889,720 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,304 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 89% 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 435,684 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 82% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.