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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
A novel mechanism of phenotypic heterogeneity in Creutzfeldt-Jakob disease
|
|---|---|
| Published in |
Acta Neuropathologica Communications, June 2020
|
| DOI | 10.1186/s40478-020-00966-x |
| Pubmed ID | |
| Authors |
Satish K. Nemani, Xiangzhu Xiao, Ignazio Cali, Laura Cracco, Gianfranco Puoti, Massimiliano Nigro, Jody Lavrich, Anuradha Bharara Singh, Brian S. Appleby, Valerie L. Sim, Silvio Notari, Witold K. Surewicz, Pierluigi Gambetti |
Twitter Demographics
The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Korea, Democratic People's Republic of | 1 | 17% |
| Canada | 1 | 17% |
| United States | 1 | 17% |
| Spain | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 21% |
| Student > Ph. D. Student | 3 | 21% |
| Student > Bachelor | 2 | 14% |
| Student > Master | 2 | 14% |
| Professor > Associate Professor | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 5 | 36% |
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Medicine and Dentistry | 2 | 14% |
| Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 11 January 2022.
All research outputs
#1,713,971
of 24,280,456 outputs
Outputs from Acta Neuropathologica Communications
#169
of 1,488 outputs
Outputs of similar age
#47,107
of 403,084 outputs
Outputs of similar age from Acta Neuropathologica Communications
#13
of 58 outputs
Altmetric has tracked 24,280,456 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,488 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done well, scoring higher than 88% 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 403,084 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 88% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.