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X Demographics
Mendeley readers
Attention Score in Context
Title |
Gender Identification of Human Cortical 3-D Morphology Using Hierarchical Sparsity
|
---|---|
Published in |
Frontiers in Human Neuroscience, February 2019
|
DOI | 10.3389/fnhum.2019.00029 |
Pubmed ID | |
Authors |
Zhiguo Luo, Chenping Hou, Lubin Wang, Dewen Hu |
X Demographics
The data shown below were collected from the profiles of 156 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Peru | 19 | 12% |
Spain | 18 | 12% |
United States | 6 | 4% |
Chile | 3 | 2% |
Germany | 3 | 2% |
Switzerland | 2 | 1% |
Australia | 2 | 1% |
Ecuador | 2 | 1% |
United Arab Emirates | 1 | <1% |
Other | 11 | 7% |
Unknown | 89 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 150 | 96% |
Scientists | 3 | 2% |
Practitioners (doctors, other healthcare professionals) | 2 | 1% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 18% |
Other | 3 | 11% |
Student > Ph. D. Student | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Student > Master | 2 | 7% |
Other | 4 | 14% |
Unknown | 10 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 5 | 18% |
Medicine and Dentistry | 3 | 11% |
Agricultural and Biological Sciences | 2 | 7% |
Computer Science | 2 | 7% |
Social Sciences | 2 | 7% |
Other | 5 | 18% |
Unknown | 9 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 128. 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 April 2024.
All research outputs
#334,579
of 25,850,376 outputs
Outputs from Frontiers in Human Neuroscience
#150
of 7,768 outputs
Outputs of similar age
#7,502
of 449,640 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#1
of 122 outputs
Altmetric has tracked 25,850,376 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,768 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 98% 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 449,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.