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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Activity Dependent Degeneration Explains Hub Vulnerability in Alzheimer's Disease
|
|---|---|
| Published in |
PLoS Computational Biology, August 2012
|
| DOI | 10.1371/journal.pcbi.1002582 |
| Pubmed ID | |
| Authors |
Willem de Haan, Katherine Mott, Elisabeth C. W. van Straaten, Philip Scheltens, Cornelis J. Stam |
X Demographics
The data shown below were collected from the profiles of 10 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 States | 3 | 30% |
| United Kingdom | 2 | 20% |
| Switzerland | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 50% |
| Members of the public | 3 | 30% |
| Science communicators (journalists, bloggers, editors) | 2 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 342 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 1% |
| United States | 3 | <1% |
| Netherlands | 2 | <1% |
| Spain | 2 | <1% |
| Switzerland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Singapore | 1 | <1% |
| Colombia | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 325 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 80 | 23% |
| Researcher | 71 | 21% |
| Student > Master | 45 | 13% |
| Student > Bachelor | 19 | 6% |
| Professor | 16 | 5% |
| Other | 60 | 18% |
| Unknown | 51 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 65 | 19% |
| Medicine and Dentistry | 42 | 12% |
| Psychology | 38 | 11% |
| Agricultural and Biological Sciences | 36 | 11% |
| Engineering | 22 | 6% |
| Other | 55 | 16% |
| Unknown | 84 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 August 2019.
All research outputs
#7,192,016
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#4,758
of 9,038 outputs
Outputs of similar age
#49,111
of 178,446 outputs
Outputs of similar age from PLoS Computational Biology
#46
of 101 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,038 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 178,446 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.