The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linking Alzheimer’s Disease and Type 2 Diabetes: Characterization and Inhibition of Cytotoxic Aβ and IAPP Hetero-Aggregates
|
|---|---|
| Published in |
Frontiers in Molecular Biosciences, March 2022
|
| DOI | 10.3389/fmolb.2022.842582 |
| Pubmed ID | |
| Authors |
Kenana Al Adem, Aya Shanti, Amit Srivastava, Dirar Homouz, Sneha Ann Thomas, Mostafa Khair, Cesare Stefanini, Vincent Chan, Tae-Yeon Kim, Sungmun Lee |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
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 % |
|---|---|---|
| Researcher | 3 | 17% |
| Student > Bachelor | 2 | 11% |
| Other | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 3 | 17% |
| Unknown | 7 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 17% |
| Chemistry | 2 | 11% |
| Unspecified | 1 | 6% |
| Nursing and Health Professions | 1 | 6% |
| Mathematics | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 8 | 44% |
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 08 April 2022.
All research outputs
#3,324,944
of 23,506,079 outputs
Outputs from Frontiers in Molecular Biosciences
#282
of 4,088 outputs
Outputs of similar age
#82,210
of 471,644 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#20
of 387 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,088 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 92% 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 471,644 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 82% of its contemporaries.
We're also able to compare this research output to 387 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 94% of its contemporaries.