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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fragment assignment in the cloud with eXpress-D
|
|---|---|
| Published in |
BMC Bioinformatics, December 2013
|
| DOI | 10.1186/1471-2105-14-358 |
| Pubmed ID | |
| Authors |
Adam Roberts, Harvey Feng, Lior Pachter |
| Abstract |
Probabilistic assignment of ambiguously mapped fragments produced by high-throughput sequencing experiments has been demonstrated to greatly improve accuracy in the analysis of RNA-Seq and ChIP-Seq, and is an essential step in many other sequence census experiments. A maximum likelihood method using the expectation-maximization (EM) algorithm for optimization is commonly used to solve this problem. However, batch EM-based approaches do not scale well with the size of sequencing datasets, which have been increasing dramatically over the past few years. Thus, current approaches to fragment assignment rely on heuristics or approximations for tractability. |
X Demographics
The data shown below were collected from the profiles of 14 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 | 5 | 36% |
| Sweden | 1 | 7% |
| United Kingdom | 1 | 7% |
| Norway | 1 | 7% |
| India | 1 | 7% |
| France | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 11% |
| Sweden | 1 | 2% |
| Brazil | 1 | 2% |
| Spain | 1 | 2% |
| United Kingdom | 1 | 2% |
| Unknown | 46 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 30% |
| Student > Ph. D. Student | 10 | 18% |
| Professor > Associate Professor | 7 | 13% |
| Other | 4 | 7% |
| Professor | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 45% |
| Computer Science | 12 | 21% |
| Biochemistry, Genetics and Molecular Biology | 4 | 7% |
| Mathematics | 3 | 5% |
| Engineering | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 15 January 2023.
All research outputs
#2,220,435
of 24,077,666 outputs
Outputs from BMC Bioinformatics
#552
of 7,497 outputs
Outputs of similar age
#25,701
of 315,634 outputs
Outputs of similar age from BMC Bioinformatics
#13
of 97 outputs
Altmetric has tracked 24,077,666 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,497 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 particularly well, scoring higher than 92% 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 315,634 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 91% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.