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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On triangle inequalities of correlation-based distances for gene expression profiles
|
|---|---|
| Published in |
BMC Bioinformatics, February 2023
|
| DOI | 10.1186/s12859-023-05161-y |
| Pubmed ID | |
| Authors |
Jiaxing Chen, Yen Kaow Ng, Lu Lin, Xianglilan Zhang, Shuaicheng Li |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 17% |
| United States | 2 | 11% |
| Montenegro | 1 | 6% |
| India | 1 | 6% |
| Sweden | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 9 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 50% |
| Scientists | 8 | 44% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Student > Bachelor | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 9 | 64% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Computer Science | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Immunology and Microbiology | 1 | 7% |
| Unknown | 10 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 13 February 2023.
All research outputs
#4,685,253
of 25,365,817 outputs
Outputs from BMC Bioinformatics
#1,667
of 7,677 outputs
Outputs of similar age
#93,968
of 474,281 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 124 outputs
Altmetric has tracked 25,365,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,677 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 well, scoring higher than 78% 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 474,281 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 80% of its contemporaries.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.