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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Machine learning-based segmentation of the rodent hippocampal CA2 area from Nissl-stained sections
|
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Published in |
Frontiers in Neuroanatomy, June 2023
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DOI | 10.3389/fnana.2023.1172512 |
Pubmed ID | |
Authors |
Yuki Takeuchi, Kotaro Yamashiro, Asako Noguchi, Jiayan Liu, Shinichi Mitsui, Yuji Ikegaya, Nobuyoshi Matsumoto |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 1 | 33% |
Researcher | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1 | 33% |
Neuroscience | 1 | 33% |
Unknown | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 20 July 2023.
All research outputs
#15,260,577
of 26,363,900 outputs
Outputs from Frontiers in Neuroanatomy
#585
of 1,282 outputs
Outputs of similar age
#160,011
of 384,601 outputs
Outputs of similar age from Frontiers in Neuroanatomy
#5
of 18 outputs
Altmetric has tracked 26,363,900 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,282 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 53% 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 384,601 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.
We're also able to compare this research output to 18 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 66% of its contemporaries.