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X Demographics
Mendeley readers
Attention Score in Context
| Title |
EgoActive: Integrated Wireless Wearable Sensors for Capturing Infant Egocentric Auditory–Visual Statistics and Autonomic Nervous System Function ‘in the Wild’
|
|---|---|
| Published in |
Sensors, September 2023
|
| DOI | 10.3390/s23187930 |
| Authors |
Elena Geangu, William A. P. Smith, Harry T. Mason, Astrid Priscilla Martinez-Cedillo, David Hunter, Marina I. Knight, Haipeng Liang, Maria del Carmen Garcia de Soria Bazan, Zion Tsz Ho Tse, Thomas Rowland, Dom Corpuz, Josh Hunter, Nishant Singh, Quoc C. Vuong, Mona Ragab Sayed Abdelgayed, David R. Mullineaux, Stephen Smith, Bruce R. Muller |
X Demographics
The data shown below were collected from the profiles of 25 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 Kingdom | 5 | 20% |
| United States | 5 | 20% |
| Switzerland | 1 | 4% |
| Saudi Arabia | 1 | 4% |
| Japan | 1 | 4% |
| Netherlands | 1 | 4% |
| India | 1 | 4% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 52% |
| Scientists | 11 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 1 | 20% |
| Student > Ph. D. Student | 1 | 20% |
| Researcher | 1 | 20% |
| Lecturer | 1 | 20% |
| Unknown | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 2 | 40% |
| Linguistics | 1 | 20% |
| Engineering | 1 | 20% |
| Unknown | 1 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 10 November 2023.
All research outputs
#2,006,604
of 24,804,602 outputs
Outputs from Sensors
#453
of 23,475 outputs
Outputs of similar age
#28,597
of 307,462 outputs
Outputs of similar age from Sensors
#6
of 234 outputs
Altmetric has tracked 24,804,602 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,475 research outputs from this source. They receive a mean Attention Score of 3.0. 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 307,462 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 90% of its contemporaries.
We're also able to compare this research output to 234 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 97% of its contemporaries.