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X Demographics
Mendeley readers
Attention Score in Context
Title |
rSeqTU—A Machine-Learning Based R Package for Prediction of Bacterial Transcription Units
|
---|---|
Published in |
Frontiers in Genetics, May 2019
|
DOI | 10.3389/fgene.2019.00374 |
Pubmed ID | |
Authors |
Sheng-Yong Niu, Binqiang Liu, Qin Ma, Wen-Chi Chou |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 28 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 36% |
Researcher | 5 | 18% |
Student > Bachelor | 3 | 11% |
Student > Master | 2 | 7% |
Other | 1 | 4% |
Other | 3 | 11% |
Unknown | 4 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 32% |
Agricultural and Biological Sciences | 5 | 18% |
Mathematics | 2 | 7% |
Immunology and Microbiology | 2 | 7% |
Computer Science | 1 | 4% |
Other | 3 | 11% |
Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 June 2019.
All research outputs
#15,907,007
of 24,226,848 outputs
Outputs from Frontiers in Genetics
#4,808
of 13,008 outputs
Outputs of similar age
#211,102
of 355,473 outputs
Outputs of similar age from Frontiers in Genetics
#162
of 291 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,008 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 55% 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 355,473 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.