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 |
Tissue-enhanced plasma proteomic analysis for disease stratification in amyotrophic lateral sclerosis
|
|---|---|
| Published in |
Molecular Neurodegeneration, November 2018
|
| DOI | 10.1186/s13024-018-0292-2 |
| Pubmed ID | |
| Authors |
Irene Zubiri, Vittoria Lombardi, Michael Bremang, Vikram Mitra, Giovanni Nardo, Rocco Adiutori, Ching-Hua Lu, Emanuela Leoni, Ping Yip, Ozlem Yildiz, Malcolm Ward, Linda Greensmith, Caterina Bendotti, Ian Pike, Andrea Malaspina |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 24% |
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Doctoral Student | 5 | 7% |
| Professor | 4 | 6% |
| Other | 11 | 16% |
| Unknown | 16 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 24% |
| Neuroscience | 13 | 19% |
| Medicine and Dentistry | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Computer Science | 2 | 3% |
| Other | 9 | 13% |
| Unknown | 18 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 13 April 2019.
All research outputs
#2,459,154
of 23,112,054 outputs
Outputs from Molecular Neurodegeneration
#300
of 858 outputs
Outputs of similar age
#54,633
of 352,631 outputs
Outputs of similar age from Molecular Neurodegeneration
#8
of 18 outputs
Altmetric has tracked 23,112,054 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 858 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 gotten more attention than average, scoring higher than 63% 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 352,631 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 84% of its contemporaries.
We're also able to compare this research output to 18 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 55% of its contemporaries.