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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quantitative analysis of proteins of metabolism by reverse phase protein microarrays identifies potential biomarkers of rare neuromuscular diseases
|
|---|---|
| Published in |
Journal of Translational Medicine, February 2015
|
| DOI | 10.1186/s12967-015-0424-1 |
| Pubmed ID | |
| Authors |
Fulvio Santacatterina, Margarita Chamorro, Cristina Núñez de Arenas, Carmen Navarro, Miguel A Martín, José M Cuezva, María Sánchez-Aragó |
| Abstract |
Muscle diseases have been associated with changes in the expression of proteins involved in energy metabolism. To this aim we have developed a number of monoclonal antibodies against proteins of energy metabolism. |
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 % |
|---|---|---|
| Spain | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| France | 1 | 2% |
| Unknown | 57 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 27% |
| Student > Ph. D. Student | 6 | 10% |
| Professor | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Student > Master | 4 | 7% |
| Other | 8 | 14% |
| Unknown | 15 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 13 | 22% |
| Agricultural and Biological Sciences | 10 | 17% |
| Medicine and Dentistry | 8 | 14% |
| Chemistry | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 17 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 15 March 2016.
All research outputs
#13,936,629
of 22,792,160 outputs
Outputs from Journal of Translational Medicine
#1,695
of 3,988 outputs
Outputs of similar age
#129,059
of 255,035 outputs
Outputs of similar age from Journal of Translational Medicine
#36
of 81 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,988 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 55% 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 255,035 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 81 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.