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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploring small non-coding RNAs as blood-based biomarkers to predict Alzheimer’s disease
|
|---|---|
| Published in |
Cell & Bioscience, January 2024
|
| DOI | 10.1186/s13578-023-01190-5 |
| Pubmed ID | |
| Authors |
Laia Gutierrez-Tordera, Christopher Papandreou, Nil Novau-Ferré, Pablo García-González, Melina Rojas, Marta Marquié, Luis A. Chapado, Christos Papagiannopoulos, Noèlia Fernàndez-Castillo, Sergi Valero, Jaume Folch, Miren Ettcheto, Antoni Camins, Mercè Boada, Agustín Ruiz, Mònica Bulló |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
| United Kingdom | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 29% |
| Unspecified | 1 | 14% |
| Student > Bachelor | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 14% |
| Psychology | 1 | 14% |
| Medicine and Dentistry | 1 | 14% |
| Other | 0 | 0% |
| Unknown | 2 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 24 February 2024.
All research outputs
#1,521,968
of 25,389,532 outputs
Outputs from Cell & Bioscience
#29
of 1,176 outputs
Outputs of similar age
#17,804
of 286,027 outputs
Outputs of similar age from Cell & Bioscience
#2
of 30 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,176 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 286,027 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 93% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.