| Title |
Characterization of EvaGreen and the implication of its physicochemical properties for qPCR applications
|
|---|---|
| Published in |
BMC Biotechnology, November 2007
|
| DOI | 10.1186/1472-6750-7-76 |
| Pubmed ID | |
| Authors |
Fei Mao, Wai-Yee Leung, Xing Xin |
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 States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 464 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Germany | 4 | <1% |
| Mexico | 4 | <1% |
| Spain | 2 | <1% |
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| Sri Lanka | 2 | <1% |
| Austria | 1 | <1% |
| Ireland | 1 | <1% |
| Other | 9 | 2% |
| Unknown | 432 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 98 | 21% |
| Researcher | 90 | 19% |
| Student > Bachelor | 70 | 15% |
| Student > Master | 65 | 14% |
| Other | 21 | 5% |
| Other | 57 | 12% |
| Unknown | 63 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 168 | 36% |
| Biochemistry, Genetics and Molecular Biology | 99 | 21% |
| Engineering | 27 | 6% |
| Chemistry | 24 | 5% |
| Medicine and Dentistry | 24 | 5% |
| Other | 46 | 10% |
| Unknown | 76 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 01 March 2024.
All research outputs
#1,737,725
of 25,396,120 outputs
Outputs from BMC Biotechnology
#27
of 982 outputs
Outputs of similar age
#3,784
of 90,564 outputs
Outputs of similar age from BMC Biotechnology
#1
of 12 outputs
Altmetric has tracked 25,396,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 982 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 97% 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 90,564 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 95% of its contemporaries.
We're also able to compare this research output to 12 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 99% of its contemporaries.