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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Aging Impacts the Overall Connectivity Strength of Regions Critical for Information Transfer Among Brain Networks
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, October 2020
|
| DOI | 10.3389/fnagi.2020.592469 |
| Pubmed ID | |
| Authors |
Epifanio Bagarinao, Hirohisa Watanabe, Satoshi Maesawa, Daisuke Mori, Kazuhiro Hara, Kazuya Kawabata, Noritaka Yoneyama, Reiko Ohdake, Kazunori Imai, Michihito Masuda, Takamasa Yokoi, Aya Ogura, Toshiaki Taoka, Shuji Koyama, Hiroki C Tanabe, Masahisa Katsuno, Toshihiko Wakabayashi, Masafumi Kuzuya, Minoru Hoshiyama, Haruo Isoda, Shinji Naganawa, Norio Ozaki, Gen Sobue |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 17% |
| Canada | 1 | 8% |
| Switzerland | 1 | 8% |
| United States | 1 | 8% |
| France | 1 | 8% |
| Italy | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 22% |
| Student > Ph. D. Student | 4 | 22% |
| Researcher | 3 | 17% |
| Other | 2 | 11% |
| Student > Doctoral Student | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 3 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 33% |
| Psychology | 2 | 11% |
| Computer Science | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 3 | 17% |
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 14 November 2020.
All research outputs
#4,668,497
of 23,253,955 outputs
Outputs from Frontiers in Aging Neuroscience
#2,271
of 4,919 outputs
Outputs of similar age
#113,902
of 420,386 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#78
of 147 outputs
Altmetric has tracked 23,253,955 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 4,919 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has gotten more attention than average, scoring higher than 53% 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 420,386 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 72% of its contemporaries.
We're also able to compare this research output to 147 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.