| Title |
Identification of Novel SARS-CoV-2 Drug Targets by Host MicroRNAs and Transcription Factors Co-regulatory Interaction Network Analysis
|
|---|---|
| Published in |
Frontiers in Genetics, October 2020
|
| DOI | 10.3389/fgene.2020.571274 |
| Pubmed ID | |
| Authors |
Rahila Sardar, Deepshikha Satish, Dinesh Gupta |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| Spain | 1 | 8% |
| United States | 1 | 8% |
| South Africa | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 3 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 19% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Master | 9 | 11% |
| Student > Bachelor | 6 | 8% |
| Student > Doctoral Student | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 27 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 16 | 20% |
| Medicine and Dentistry | 10 | 13% |
| Computer Science | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 16 | 20% |
| Unknown | 28 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 18 November 2020.
All research outputs
#4,226,997
of 25,984,008 outputs
Outputs from Frontiers in Genetics
#1,241
of 13,832 outputs
Outputs of similar age
#97,460
of 439,097 outputs
Outputs of similar age from Frontiers in Genetics
#55
of 449 outputs
Altmetric has tracked 25,984,008 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,832 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 91% 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 439,097 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 77% of its contemporaries.
We're also able to compare this research output to 449 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.