| Title |
An improved method for isolation of RNA from bone
|
|---|---|
| Published in |
BMC Biotechnology, January 2012
|
| DOI | 10.1186/1472-6750-12-5 |
| Pubmed ID | |
| Authors |
Lauren E Carter, Gail Kilroy, Jeffrey M Gimble, Z Elizabeth Floyd |
| Abstract |
Bone physiology is increasingly appreciated as an important contributor to metabolic disorders such as type 2 diabetes. However, progress in understanding the role of bone in determining metabolic health is hampered by the well-described difficulty of obtaining high quality RNA from bone for gene expression analysis using the currently available approaches. |
X Demographics
The data shown below were collected from the profiles of 3 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 States | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| Unknown | 154 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 24% |
| Researcher | 37 | 24% |
| Student > Master | 17 | 11% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 9 | 6% |
| Other | 14 | 9% |
| Unknown | 28 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 48 | 31% |
| Biochemistry, Genetics and Molecular Biology | 30 | 19% |
| Medicine and Dentistry | 21 | 14% |
| Engineering | 6 | 4% |
| Immunology and Microbiology | 5 | 3% |
| Other | 11 | 7% |
| Unknown | 34 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 04 February 2014.
All research outputs
#6,911,735
of 22,663,969 outputs
Outputs from BMC Biotechnology
#388
of 935 outputs
Outputs of similar age
#64,542
of 245,774 outputs
Outputs of similar age from BMC Biotechnology
#3
of 10 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 935 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 245,774 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.