You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
A panel of CSF proteins separates genetic frontotemporal dementia from presymptomatic mutation carriers: a GENFI study
|
|---|---|
| Published in |
Molecular Neurodegeneration, November 2021
|
| DOI | 10.1186/s13024-021-00499-4 |
| Pubmed ID | |
| Authors |
Sofia Bergström, Linn Öijerstedt, Julia Remnestål, Jennie Olofsson, Abbe Ullgren, Harro Seelaar, John C. van Swieten, Matthis Synofzik, Raquel Sanchez-Valle, Fermin Moreno, Elizabeth Finger, Mario Masellis, Carmela Tartaglia, Rik Vandenberghe, Robert Laforce, Daniela Galimberti, Barbara Borroni, Chris R. Butler, Alexander Gerhard, Simon Ducharme, Jonathan D. Rohrer, Anna Månberg, Caroline Graff, Peter Nilsson |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 39% |
| Belgium | 2 | 11% |
| Spain | 1 | 6% |
| Ecuador | 1 | 6% |
| Canada | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 5 | 28% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 72% |
| Scientists | 2 | 11% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 16% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Other | 3 | 8% |
| Unspecified | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 13 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 6 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Agricultural and Biological Sciences | 3 | 8% |
| Unspecified | 2 | 5% |
| Psychology | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 15 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 February 2022.
All research outputs
#1,545,240
of 23,299,593 outputs
Outputs from Molecular Neurodegeneration
#122
of 864 outputs
Outputs of similar age
#38,406
of 510,111 outputs
Outputs of similar age from Molecular Neurodegeneration
#4
of 22 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 864 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done well, scoring higher than 85% 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 510,111 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.