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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain Differences Between Men and Women: Evidence From Deep Learning
|
|---|---|
| Published in |
Frontiers in Neuroscience, March 2019
|
| DOI | 10.3389/fnins.2019.00185 |
| Pubmed ID | |
| Authors |
Jiang Xin, Yaoxue Zhang, Yan Tang, Yuan Yang |
X Demographics
The data shown below were collected from the profiles of 242 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 23 | 10% |
| United Kingdom | 14 | 6% |
| Germany | 7 | 3% |
| Brazil | 4 | 2% |
| Turkey | 3 | 1% |
| Mexico | 3 | 1% |
| Canada | 3 | 1% |
| Switzerland | 2 | <1% |
| Sri Lanka | 2 | <1% |
| Other | 29 | 12% |
| Unknown | 152 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 224 | 93% |
| Scientists | 7 | 3% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
| Practitioners (doctors, other healthcare professionals) | 5 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 196 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 29 | 15% |
| Student > Ph. D. Student | 25 | 13% |
| Student > Master | 22 | 11% |
| Researcher | 14 | 7% |
| Lecturer | 7 | 4% |
| Other | 23 | 12% |
| Unknown | 76 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 10% |
| Neuroscience | 16 | 8% |
| Engineering | 13 | 7% |
| Biochemistry, Genetics and Molecular Biology | 11 | 6% |
| Medicine and Dentistry | 11 | 6% |
| Other | 43 | 22% |
| Unknown | 83 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 249. 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
#152,162
of 25,795,662 outputs
Outputs from Frontiers in Neuroscience
#62
of 11,712 outputs
Outputs of similar age
#3,198
of 366,881 outputs
Outputs of similar age from Frontiers in Neuroscience
#5
of 343 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,712 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has done particularly well, scoring higher than 99% 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 366,881 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 99% of its contemporaries.
We're also able to compare this research output to 343 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 98% of its contemporaries.