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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Bioinformatic identification of proteins with tissue-specific expression for biomarker discovery
|
|---|---|
| Published in |
BMC Medicine, April 2012
|
| DOI | 10.1186/1741-7015-10-39 |
| Pubmed ID | |
| Authors |
Ioannis Prassas, Caitlin C Chrystoja, Shalini Makawita, Eleftherios P Diamandis |
| Abstract |
There is an important need for the identification of novel serological biomarkers for the early detection of cancer. Current biomarkers suffer from a lack of tissue specificity, rendering them vulnerable to non-disease-specific increases. The present study details a strategy to rapidly identify tissue-specific proteins using bioinformatics. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 5 | 71% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
| Scientists | 1 | 14% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| Unknown | 71 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 29% |
| Student > Ph. D. Student | 10 | 14% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 7 | 10% |
| Other | 6 | 8% |
| Other | 16 | 22% |
| Unknown | 4 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 38% |
| Biochemistry, Genetics and Molecular Biology | 15 | 21% |
| Medicine and Dentistry | 14 | 19% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 5 | 7% |
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 07 November 2019.
All research outputs
#2,694,464
of 25,654,806 outputs
Outputs from BMC Medicine
#1,757
of 4,067 outputs
Outputs of similar age
#15,920
of 174,801 outputs
Outputs of similar age from BMC Medicine
#13
of 31 outputs
Altmetric has tracked 25,654,806 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 4,067 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.9. This one has gotten more attention than average, scoring higher than 56% 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 174,801 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 90% of its contemporaries.
We're also able to compare this research output to 31 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 58% of its contemporaries.