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X Demographics
Mendeley readers
Attention Score in Context
Title |
A Deep Learning-Based Workflow for Dendritic Spine Segmentation
|
---|---|
Published in |
Frontiers in Neuroanatomy, March 2022
|
DOI | 10.3389/fnana.2022.817903 |
Pubmed ID | |
Authors |
Isabel Vidaurre-Gallart, Isabel Fernaud-Espinosa, Nicusor Cosmin-Toader, Lidia Talavera-Martínez, Miguel Martin-Abadal, Ruth Benavides-Piccione, Yolanda Gonzalez-Cid, Luis Pastor, Javier DeFelipe, Marcos García-Lorenzo |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 4 | 11% |
Researcher | 4 | 11% |
Student > Ph. D. Student | 4 | 11% |
Professor | 2 | 6% |
Student > Master | 2 | 6% |
Other | 4 | 11% |
Unknown | 16 | 44% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 14% |
Neuroscience | 5 | 14% |
Unspecified | 4 | 11% |
Physics and Astronomy | 2 | 6% |
Medicine and Dentistry | 2 | 6% |
Other | 2 | 6% |
Unknown | 16 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 04 April 2022.
All research outputs
#4,780,115
of 23,479,361 outputs
Outputs from Frontiers in Neuroanatomy
#331
of 1,190 outputs
Outputs of similar age
#115,811
of 471,432 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#5
of 26 outputs
Altmetric has tracked 23,479,361 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,190 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. 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 471,432 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 75% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.