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Mendeley readers
Attention Score in Context
| Title |
Quantitative comparison of EST libraries requires compensation for systematic biases in cDNA generation
|
|---|---|
| Published in |
BMC Bioinformatics, February 2006
|
| DOI | 10.1186/1471-2105-7-77 |
| Pubmed ID | |
| Authors |
Donglin Liu, Joel H Graber |
| Abstract |
Publicly accessible EST libraries contain valuable information that can be utilized for studies of tissue-specific gene expression and processing of individual genes. This information is, however, confounded by multiple systematic effects arising from the procedures used to generate these libraries. |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 5% |
| Argentina | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 40 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 25% |
| Student > Master | 11 | 25% |
| Researcher | 10 | 23% |
| Student > Bachelor | 7 | 16% |
| Professor | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 57% |
| Biochemistry, Genetics and Molecular Biology | 13 | 30% |
| Computer Science | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Unknown | 3 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 31 December 2019.
All research outputs
#3,782,239
of 22,789,566 outputs
Outputs from BMC Bioinformatics
#1,455
of 7,280 outputs
Outputs of similar age
#10,410
of 70,369 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 58 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,280 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 79% 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 70,369 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 84% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.