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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MELTING, a flexible platform to predict the melting temperatures of nucleic acids
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-101 |
| Pubmed ID | |
| Authors |
Marine Dumousseau, Nicolas Rodriguez, Nick Juty, Nicolas Le Novère |
| Abstract |
Computing accurate nucleic acid melting temperatures has become a crucial step for the efficiency and the optimisation of numerous molecular biology techniques such as in situ hybridization, PCR, antigene targeting, and microarrays. MELTING is a free open source software which computes the enthalpy, entropy and melting temperature of nucleic acids. MELTING 4.2 was able to handle several types of hybridization such as DNA/DNA, RNA/RNA, DNA/RNA and provided corrections to melting temperatures due to the presence of sodium. The program can use either an approximative approach or a more accurate Nearest-Neighbor approach. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Canada | 1 | 1% |
| China | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 92 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 32% |
| Student > Ph. D. Student | 23 | 24% |
| Student > Master | 12 | 12% |
| Other | 6 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 12 | 12% |
| Unknown | 8 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 32% |
| Biochemistry, Genetics and Molecular Biology | 27 | 28% |
| Chemistry | 6 | 6% |
| Computer Science | 5 | 5% |
| Medicine and Dentistry | 4 | 4% |
| Other | 14 | 14% |
| Unknown | 10 | 10% |
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 02 April 2024.
All research outputs
#5,088,667
of 24,862,965 outputs
Outputs from BMC Bioinformatics
#1,800
of 7,597 outputs
Outputs of similar age
#32,498
of 168,346 outputs
Outputs of similar age from BMC Bioinformatics
#30
of 99 outputs
Altmetric has tracked 24,862,965 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,597 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 75% 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 168,346 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 80% of its contemporaries.
We're also able to compare this research output to 99 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 70% of its contemporaries.