The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging
|
---|---|
Published in |
Frontiers in Aging Neuroscience, May 2020
|
DOI | 10.3389/fnagi.2020.00136 |
Pubmed ID | |
Authors |
Harry J. Whitwell, Maria Giulia Bacalini, Oleg Blyuss, Shangbin Chen, Paolo Garagnani, Susan Yu Gordleeva, Sarika Jalan, Mikhail Ivanchenko, Oleg Kanakov, Valentina Kustikova, Ines P. Mariño, Iosif Meyerov, Ekkehard Ullner, Claudio Franceschi, Alexey Zaikin |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 4 | 31% |
Mexico | 1 | 8% |
Norway | 1 | 8% |
United States | 1 | 8% |
Switzerland | 1 | 8% |
Unknown | 5 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 85% |
Scientists | 2 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 12% |
Researcher | 5 | 12% |
Student > Bachelor | 5 | 12% |
Student > Master | 4 | 10% |
Unspecified | 2 | 5% |
Other | 3 | 7% |
Unknown | 18 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 17% |
Biochemistry, Genetics and Molecular Biology | 4 | 10% |
Agricultural and Biological Sciences | 2 | 5% |
Computer Science | 2 | 5% |
Neuroscience | 2 | 5% |
Other | 6 | 14% |
Unknown | 19 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 22 August 2024.
All research outputs
#5,420,158
of 26,385,541 outputs
Outputs from Frontiers in Aging Neuroscience
#2,834
of 5,742 outputs
Outputs of similar age
#123,746
of 432,010 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#67
of 108 outputs
Altmetric has tracked 26,385,541 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,742 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has gotten more attention than average, scoring higher than 50% 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 432,010 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 71% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.