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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Brain-inspired multimodal hybrid neural network for robot place recognition
|
|---|---|
| Published in |
Science Robotics, May 2023
|
| DOI | 10.1126/scirobotics.abm6996 |
| Pubmed ID | |
| Authors |
Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi |
X Demographics
The data shown below were collected from the profiles of 109 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 | 17 | 16% |
| United Kingdom | 5 | 5% |
| India | 5 | 5% |
| Japan | 4 | 4% |
| France | 4 | 4% |
| China | 2 | 2% |
| Philippines | 2 | 2% |
| Australia | 2 | 2% |
| Peru | 2 | 2% |
| Other | 20 | 18% |
| Unknown | 46 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 87 | 80% |
| Scientists | 18 | 17% |
| Practitioners (doctors, other healthcare professionals) | 3 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 26% |
| Unspecified | 4 | 11% |
| Student > Master | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 12 | 32% |
| Computer Science | 6 | 16% |
| Unspecified | 4 | 11% |
| Neuroscience | 3 | 8% |
| Medicine and Dentistry | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 9 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 88. 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 14 February 2024.
All research outputs
#491,184
of 25,761,363 outputs
Outputs from Science Robotics
#326
of 642 outputs
Outputs of similar age
#10,917
of 404,606 outputs
Outputs of similar age from Science Robotics
#7
of 16 outputs
Altmetric has tracked 25,761,363 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 642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 170.2. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 404,606 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 97% of its contemporaries.
We're also able to compare this research output to 16 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 56% of its contemporaries.