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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparative study of topology-based pathway enrichment analysis methods
|
|---|---|
| Published in |
BMC Bioinformatics, November 2019
|
| DOI | 10.1186/s12859-019-3146-1 |
| Pubmed ID | |
| Authors |
Jing Ma, Ali Shojaie, George Michailidis |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| United States | 2 | 22% |
| India | 1 | 11% |
| New Zealand | 1 | 11% |
| United Kingdom | 1 | 11% |
| Nigeria | 1 | 11% |
| Unknown | 1 | 11% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 89% |
| Members of the public | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 23% |
| Researcher | 25 | 21% |
| Student > Master | 17 | 14% |
| Student > Bachelor | 4 | 3% |
| Student > Doctoral Student | 4 | 3% |
| Other | 10 | 8% |
| Unknown | 31 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 30 | 25% |
| Computer Science | 10 | 8% |
| Agricultural and Biological Sciences | 10 | 8% |
| Medicine and Dentistry | 6 | 5% |
| Chemistry | 4 | 3% |
| Other | 20 | 17% |
| Unknown | 38 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 10 August 2020.
All research outputs
#4,866,332
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#1,835
of 7,400 outputs
Outputs of similar age
#97,780
of 366,260 outputs
Outputs of similar age from BMC Bioinformatics
#48
of 154 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 75% 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 366,260 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.