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 |
Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients
|
|---|---|
| Published in |
BMC Medical Genomics, March 2011
|
| DOI | 10.1186/1755-8794-4-26 |
| Pubmed ID | |
| Authors |
Michael R Elashoff, James A Wingrove, Philip Beineke, Susan E Daniels, Whittemore G Tingley, Steven Rosenberg, Szilard Voros, William E Kraus, Geoffrey S Ginsburg, Robert S Schwartz, Stephen G Ellis, Naheem Tahirkheli, Ron Waksman, John McPherson, Alexandra J Lansky, Eric J Topol |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Iran, Islamic Republic of | 2 | 3% |
| Netherlands | 1 | 1% |
| Ireland | 1 | 1% |
| Unknown | 70 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 30% |
| Student > Ph. D. Student | 13 | 17% |
| Other | 8 | 10% |
| Professor > Associate Professor | 6 | 8% |
| Student > Bachelor | 5 | 6% |
| Other | 15 | 19% |
| Unknown | 7 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 32% |
| Medicine and Dentistry | 16 | 21% |
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Computer Science | 6 | 8% |
| Nursing and Health Professions | 1 | 1% |
| Other | 5 | 6% |
| Unknown | 9 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 03 September 2018.
All research outputs
#4,521,065
of 22,824,164 outputs
Outputs from BMC Medical Genomics
#212
of 1,223 outputs
Outputs of similar age
#22,399
of 108,892 outputs
Outputs of similar age from BMC Medical Genomics
#6
of 11 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,223 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 82% 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 108,892 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 79% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.