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Mendeley readers
Attention Score in Context
| Title |
Large gene overlaps in prokaryotic genomes: result of functional constraints or mispredictions?
|
|---|---|
| Published in |
BMC Genomics, July 2008
|
| DOI | 10.1186/1471-2164-9-335 |
| Pubmed ID | |
| Authors |
Albert Pallejà, Eoghan D Harrington, Peer Bork |
| Abstract |
Across the fully sequenced microbial genomes there are thousands of examples of overlapping genes. Many of these are only a few nucleotides long and are thought to function by permitting the coordinated regulation of gene expression. However, there should also be selective pressure against long overlaps, as the existence of overlapping reading frames increases the risk of deleterious mutations. Here we examine the longest overlaps and assess whether they are the product of special functional constraints or of erroneous annotation. |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| United States | 2 | 3% |
| India | 2 | 3% |
| Norway | 1 | 1% |
| Sweden | 1 | 1% |
| Israel | 1 | 1% |
| United Kingdom | 1 | 1% |
| Poland | 1 | 1% |
| Unknown | 66 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 23% |
| Student > Ph. D. Student | 17 | 22% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 9 | 12% |
| Student > Postgraduate | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 60% |
| Biochemistry, Genetics and Molecular Biology | 13 | 17% |
| Computer Science | 3 | 4% |
| Immunology and Microbiology | 2 | 3% |
| Chemical Engineering | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 9 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 July 2023.
All research outputs
#3,098,897
of 25,371,288 outputs
Outputs from BMC Genomics
#972
of 11,244 outputs
Outputs of similar age
#9,416
of 95,867 outputs
Outputs of similar age from BMC Genomics
#4
of 41 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% 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 95,867 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 90% of its contemporaries.
We're also able to compare this research output to 41 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 90% of its contemporaries.