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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning
|
|---|---|
| Published in |
Genome Medicine, October 2023
|
| DOI | 10.1186/s13073-023-01233-z |
| Pubmed ID | |
| Authors |
Alexander Neumann, Olena Ohlei, Fahri Küçükali, Isabelle J. Bos, Jigyasha Timsina, Stephanie Vos, Dmitry Prokopenko, Betty M. Tijms, Ulf Andreasson, Kaj Blennow, Rik Vandenberghe, Philip Scheltens, Charlotte E. Teunissen, Sebastiaan Engelborghs, Giovanni B. Frisoni, Oliver Blin, Jill C. Richardson, Régis Bordet, Alberto Lleó, Daniel Alcolea, Julius Popp, Thomas W. Marsh, Priyanka Gorijala, Christopher Clark, Gwendoline Peyratout, Pablo Martinez-Lage, Mikel Tainta, Richard J. B. Dobson, Cristina Legido-Quigley, Christine Van Broeckhoven, Rudolph E. Tanzi, Mara ten Kate, Christina M. Lill, Frederik Barkhof, Carlos Cruchaga, Simon Lovestone, Johannes Streffer, Henrik Zetterberg, Pieter Jelle Visser, Kristel Sleegers, Lars Bertram |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 12% |
| Student > Doctoral Student | 2 | 12% |
| Student > Ph. D. Student | 1 | 6% |
| Professor > Associate Professor | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 9 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 24% |
| Unspecified | 2 | 12% |
| Neuroscience | 1 | 6% |
| Unknown | 10 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 07 December 2023.
All research outputs
#746,276
of 24,953,268 outputs
Outputs from Genome Medicine
#140
of 1,539 outputs
Outputs of similar age
#12,457
of 337,767 outputs
Outputs of similar age from Genome Medicine
#6
of 33 outputs
Altmetric has tracked 24,953,268 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,539 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done particularly well, scoring higher than 90% 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 337,767 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 96% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.