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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Multi-Omic Approach to Identify Phenotypic Modifiers Underlying Cerebral Demyelination in X-Linked Adrenoleukodystrophy
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, June 2020
|
| DOI | 10.3389/fcell.2020.00520 |
| Pubmed ID | |
| Authors |
Phillip A. Richmond, Frans van der Kloet, Frederic M. Vaz, David Lin, Anuli Uzozie, Emma Graham, Michael Kobor, Sara Mostafavi, Perry D. Moerland, Philipp F. Lange, Antoine H. C. van Kampen, Wyeth W. Wasserman, Marc Engelen, Stephan Kemp, Clara D. M. van Karnebeek |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 24% |
| Netherlands | 4 | 24% |
| Comoros | 1 | 6% |
| Switzerland | 1 | 6% |
| United States | 1 | 6% |
| Unknown | 6 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 47% |
| Members of the public | 8 | 47% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 23% |
| Student > Doctoral Student | 5 | 9% |
| Other | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Professor > Associate Professor | 4 | 7% |
| Other | 12 | 21% |
| Unknown | 14 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 21% |
| Medicine and Dentistry | 7 | 13% |
| Neuroscience | 6 | 11% |
| Agricultural and Biological Sciences | 2 | 4% |
| Computer Science | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 19 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 03 December 2020.
All research outputs
#2,925,805
of 23,217,343 outputs
Outputs from Frontiers in Cell and Developmental Biology
#563
of 9,250 outputs
Outputs of similar age
#78,151
of 400,329 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#32
of 421 outputs
Altmetric has tracked 23,217,343 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,250 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 93% 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 400,329 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 80% of its contemporaries.
We're also able to compare this research output to 421 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 92% of its contemporaries.