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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gene finding in metatranscriptomic sequences
|
|---|---|
| Published in |
BMC Bioinformatics, September 2014
|
| DOI | 10.1186/1471-2105-15-s9-s8 |
| Pubmed ID | |
| Authors |
Wazim Mohammed Ismail, Yuzhen Ye, Haixu Tang |
| Abstract |
Metatranscriptomic sequencing is a highly sensitive bioassay of functional activity in a microbial community, providing complementary information to the metagenomic sequencing of the community. The acquisition of the metatranscriptomic sequences will enable us to refine the annotations of the metagenomes, and to study the gene activities and their regulation in complex microbial communities and their dynamics. |
X Demographics
The data shown below were collected from the profiles of 6 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 | 1 | 17% |
| United Kingdom | 1 | 17% |
| Spain | 1 | 17% |
| China | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 3 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Canada | 1 | 1% |
| Germany | 1 | 1% |
| Denmark | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 68 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 24% |
| Student > Ph. D. Student | 14 | 19% |
| Student > Master | 12 | 16% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 6 | 8% |
| Other | 6 | 8% |
| Unknown | 13 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 52% |
| Biochemistry, Genetics and Molecular Biology | 8 | 11% |
| Immunology and Microbiology | 5 | 7% |
| Environmental Science | 4 | 5% |
| Computer Science | 3 | 4% |
| Other | 2 | 3% |
| Unknown | 14 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 19 January 2015.
All research outputs
#7,977,060
of 24,689,476 outputs
Outputs from BMC Bioinformatics
#3,000
of 7,568 outputs
Outputs of similar age
#76,416
of 244,119 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 116 outputs
Altmetric has tracked 24,689,476 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,568 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 gotten more attention than average, scoring higher than 58% 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 244,119 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 116 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 51% of its contemporaries.