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Twitter Demographics
Mendeley readers
Attention Score in Context
Title |
Fully automated and highly specific plasma β-amyloid immunoassays predict β-amyloid status defined by amyloid positron emission tomography with high accuracy
|
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Published in |
Alzheimer's Research & Therapy, June 2022
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DOI | 10.1186/s13195-022-01029-0 |
Pubmed ID | |
Authors |
Kazuto Yamashita, Masahiro Miura, Shunsuke Watanabe, Kengo Ishiki, Yuji Arimatsu, Junko Kawahira, Toshiko Kubo, Katsutaka Sasaki, Takayuki Arai, Kei Hagino, Yasuhiro Irino, Kota Nagai, David Verbel, Akihiko Koyama, Shobha Dhadda, Hayato Niiro, Shigeki Iwanaga, Toshiyuki Sato, Tomokazu Yoshida, Atsushi Iwata |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 36% |
Unspecified | 2 | 9% |
Other | 2 | 9% |
Student > Bachelor | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 7 | 32% |
Unspecified | 2 | 9% |
Nursing and Health Professions | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Medicine and Dentistry | 1 | 5% |
Other | 1 | 5% |
Unknown | 9 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 December 2022.
All research outputs
#3,040,602
of 23,402,852 outputs
Outputs from Alzheimer's Research & Therapy
#751
of 1,274 outputs
Outputs of similar age
#66,329
of 442,914 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#31
of 46 outputs
Altmetric has tracked 23,402,852 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.9. This one is in the 37th percentile – i.e., 37% 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 442,914 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.