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X Demographics
Mendeley readers
Attention Score in Context
| Title |
IRESpy: an XGBoost model for prediction of internal ribosome entry sites
|
|---|---|
| Published in |
BMC Bioinformatics, July 2019
|
| DOI | 10.1186/s12859-019-2999-7 |
| Pubmed ID | |
| Authors |
Junhui Wang, Michael Gribskov |
X Demographics
The data shown below were collected from the profiles of 7 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 | 14% |
| France | 1 | 14% |
| India | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 68 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 16% |
| Student > Ph. D. Student | 10 | 15% |
| Researcher | 9 | 13% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 5 | 7% |
| Unknown | 24 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 29% |
| Agricultural and Biological Sciences | 11 | 16% |
| Computer Science | 4 | 6% |
| Neuroscience | 3 | 4% |
| Social Sciences | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 26 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 26 July 2023.
All research outputs
#2,437,886
of 24,257,963 outputs
Outputs from BMC Bioinformatics
#657
of 7,509 outputs
Outputs of similar age
#50,567
of 349,566 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 133 outputs
Altmetric has tracked 24,257,963 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,509 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 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 349,566 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 85% of its contemporaries.
We're also able to compare this research output to 133 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.