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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying protein-coding genes in genomic sequences
|
|---|---|
| Published in |
Genome Biology, January 2009
|
| DOI | 10.1186/gb-2009-10-1-201 |
| Pubmed ID | |
| Authors |
Jennifer Harrow, Alinda Nagy, Alexandre Reymond, Tyler Alioto, Laszlo Patthy, Stylianos E Antonarakis, Roderic Guigó |
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 % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 274 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Germany | 3 | 1% |
| United Kingdom | 3 | 1% |
| Chile | 2 | <1% |
| France | 2 | <1% |
| Canada | 2 | <1% |
| Spain | 2 | <1% |
| Mexico | 2 | <1% |
| South Africa | 1 | <1% |
| Other | 10 | 4% |
| Unknown | 242 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 62 | 23% |
| Student > Ph. D. Student | 57 | 21% |
| Student > Master | 37 | 14% |
| Student > Bachelor | 31 | 11% |
| Student > Doctoral Student | 14 | 5% |
| Other | 44 | 16% |
| Unknown | 29 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 125 | 46% |
| Biochemistry, Genetics and Molecular Biology | 43 | 16% |
| Computer Science | 17 | 6% |
| Engineering | 15 | 5% |
| Medicine and Dentistry | 9 | 3% |
| Other | 29 | 11% |
| Unknown | 36 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 34. 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 March 2022.
All research outputs
#1,169,859
of 25,373,627 outputs
Outputs from Genome Biology
#875
of 4,467 outputs
Outputs of similar age
#4,312
of 186,032 outputs
Outputs of similar age from Genome Biology
#5
of 26 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 80% 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 186,032 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 97% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.