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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adapting Community Detection Algorithms for Disease Module Identification in Heterogeneous Biological Networks
|
|---|---|
| Published in |
Frontiers in Genetics, March 2019
|
| DOI | 10.3389/fgene.2019.00164 |
| Pubmed ID | |
| Authors |
Beethika Tripathi, Srinivasan Parthasarathy, Himanshu Sinha, Karthik Raman, Balaraman Ravindran |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 75% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 72 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 21% |
| Student > Ph. D. Student | 15 | 21% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 5 | 7% |
| Professor | 4 | 6% |
| Other | 10 | 14% |
| Unknown | 17 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 21% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Agricultural and Biological Sciences | 7 | 10% |
| Engineering | 3 | 4% |
| Neuroscience | 3 | 4% |
| Other | 10 | 14% |
| Unknown | 21 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 06 April 2021.
All research outputs
#1,574,329
of 23,133,982 outputs
Outputs from Frontiers in Genetics
#327
of 12,177 outputs
Outputs of similar age
#38,539
of 351,875 outputs
Outputs of similar age from Frontiers in Genetics
#14
of 365 outputs
Altmetric has tracked 23,133,982 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,177 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 97% 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 351,875 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 89% of its contemporaries.
We're also able to compare this research output to 365 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 96% of its contemporaries.