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Mendeley readers
Attention Score in Context
| Title |
Sample prep for proteomics of breast cancer: proteomics and gene ontology reveal dramatic differences in protein solubilization preferences of radioimmunoprecipitation assay and urea lysis buffers
|
|---|---|
| Published in |
Proteome Science, October 2008
|
| DOI | 10.1186/1477-5956-6-30 |
| Pubmed ID | |
| Authors |
Lambert CM Ngoka |
| Abstract |
An important step in the proteomics of solid tumors, including breast cancer, consists of efficiently extracting most of proteins in the tumor specimen. For this purpose, Radio-Immunoprecipitation Assay (RIPA) buffer is widely employed. RIPA buffer's rapid and highly efficient cell lysis and good solubilization of a wide range of proteins is further augmented by its compatibility with protease and phosphatase inhibitors, ability to minimize non-specific protein binding leading to a lower background in immunoprecipitation, and its suitability for protein quantitation. |
Mendeley readers
The data shown below were compiled from readership statistics for 225 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 1% |
| Germany | 3 | 1% |
| Portugal | 1 | <1% |
| Bulgaria | 1 | <1% |
| Philippines | 1 | <1% |
| Unknown | 216 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 24% |
| Researcher | 39 | 17% |
| Student > Bachelor | 30 | 13% |
| Student > Master | 27 | 12% |
| Student > Doctoral Student | 9 | 4% |
| Other | 34 | 15% |
| Unknown | 33 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 29% |
| Biochemistry, Genetics and Molecular Biology | 46 | 20% |
| Medicine and Dentistry | 21 | 9% |
| Chemistry | 11 | 5% |
| Engineering | 10 | 4% |
| Other | 34 | 15% |
| Unknown | 38 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 25 May 2017.
All research outputs
#8,534,528
of 25,371,288 outputs
Outputs from Proteome Science
#45
of 208 outputs
Outputs of similar age
#37,075
of 103,638 outputs
Outputs of similar age from Proteome Science
#1
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 208 research outputs from this source. They receive a mean Attention Score of 2.8. 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 103,638 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them