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X Demographics
Mendeley readers
Attention Score in Context
| Title |
TCC: an R package for comparing tag count data with robust normalization strategies
|
|---|---|
| Published in |
BMC Bioinformatics, July 2013
|
| DOI | 10.1186/1471-2105-14-219 |
| Pubmed ID | |
| Authors |
Jianqiang Sun, Tomoaki Nishiyama, Kentaro Shimizu, Koji Kadota |
X Demographics
The data shown below were collected from the profiles of 14 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 | 3 | 21% |
| United Kingdom | 2 | 14% |
| Poland | 1 | 7% |
| Germany | 1 | 7% |
| Canada | 1 | 7% |
| France | 1 | 7% |
| Unknown | 5 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 50% |
| Members of the public | 6 | 43% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 339 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Japan | 3 | <1% |
| United Kingdom | 2 | <1% |
| Germany | 2 | <1% |
| Brazil | 1 | <1% |
| Norway | 1 | <1% |
| Denmark | 1 | <1% |
| Netherlands | 1 | <1% |
| Mexico | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 322 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 82 | 24% |
| Student > Ph. D. Student | 67 | 20% |
| Student > Master | 34 | 10% |
| Student > Bachelor | 29 | 9% |
| Student > Doctoral Student | 16 | 5% |
| Other | 55 | 16% |
| Unknown | 56 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 140 | 41% |
| Biochemistry, Genetics and Molecular Biology | 68 | 20% |
| Medicine and Dentistry | 19 | 6% |
| Computer Science | 12 | 4% |
| Immunology and Microbiology | 5 | 1% |
| Other | 28 | 8% |
| Unknown | 67 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 01 February 2018.
All research outputs
#1,944,228
of 24,620,470 outputs
Outputs from BMC Bioinformatics
#436
of 7,561 outputs
Outputs of similar age
#16,226
of 199,029 outputs
Outputs of similar age from BMC Bioinformatics
#12
of 95 outputs
Altmetric has tracked 24,620,470 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,561 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 94% 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 199,029 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 91% of its contemporaries.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.