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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Alzheimer's disease biomarker discovery using in silico literature mining and clinical validation
|
|---|---|
| Published in |
Journal of Translational Medicine, October 2012
|
| DOI | 10.1186/1479-5876-10-217 |
| Pubmed ID | |
| Authors |
Ines Greco, Nicola Day, Joanna Riddoch-Contreras, Jane Reed, Hilkka Soininen, Iwona Kłoszewska, Magda Tsolaki, Bruno Vellas, Christian Spenger, Patrizia Mecocci, Lars-Olof Wahlund, Andrew Simmons, Julie Barnes, Simon Lovestone |
| Abstract |
Alzheimer's Disease (AD) is the most widespread form of dementia in the elderly but despite progress made in recent years towards a mechanistic understanding, there is still an urgent need for disease modification therapy and for early diagnostic tests. Substantial international efforts are being made to discover and validate biomarkers for AD using candidate analytes and various data-driven 'omics' approaches. Cerebrospinal fluid is in many ways the tissue of choice for biomarkers of brain disease but is limited by patient and clinician acceptability, and increasing attention is being paid to the search for blood-based biomarkers. The aim of this study was to use a novel in silico approach to discover a set of candidate biomarkers for AD. |
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 Kingdom | 3 | 30% |
| United States | 2 | 20% |
| Peru | 1 | 10% |
| Unknown | 4 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| France | 1 | 1% |
| Australia | 1 | 1% |
| Netherlands | 1 | 1% |
| United Kingdom | 1 | 1% |
| Brazil | 1 | 1% |
| Spain | 1 | 1% |
| Denmark | 1 | 1% |
| Unknown | 90 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 22% |
| Student > Ph. D. Student | 17 | 17% |
| Student > Master | 16 | 16% |
| Student > Bachelor | 7 | 7% |
| Professor | 6 | 6% |
| Other | 12 | 12% |
| Unknown | 20 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 18% |
| Medicine and Dentistry | 12 | 12% |
| Computer Science | 10 | 10% |
| Biochemistry, Genetics and Molecular Biology | 9 | 9% |
| Neuroscience | 7 | 7% |
| Other | 17 | 17% |
| Unknown | 27 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 20 November 2022.
All research outputs
#1,974,823
of 23,151,189 outputs
Outputs from Journal of Translational Medicine
#322
of 4,071 outputs
Outputs of similar age
#13,820
of 185,398 outputs
Outputs of similar age from Journal of Translational Medicine
#5
of 62 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done particularly well, scoring higher than 92% 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 185,398 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 92% of its contemporaries.
We're also able to compare this research output to 62 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 91% of its contemporaries.