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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic
|
|---|---|
| Published in |
Healthcare, February 2021
|
| DOI | 10.3390/healthcare9020156 |
| Pubmed ID | |
| Authors |
Abdullah Bin Shams, Ehsanul Hoque Apu, Ashiqur Rahman, Mohsin Sarker Raihan, Nazeeba Siddika, Rahat Bin Preo, Molla Rashied Hussein, Shabnam Mostari, Russell Kabir |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
| Brazil | 1 | 13% |
| France | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 101 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 10% |
| Student > Bachelor | 10 | 10% |
| Student > Master | 9 | 9% |
| Researcher | 5 | 5% |
| Professor | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 47 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 14% |
| Medicine and Dentistry | 9 | 9% |
| Nursing and Health Professions | 6 | 6% |
| Social Sciences | 6 | 6% |
| Business, Management and Accounting | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 53 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 31 May 2022.
All research outputs
#6,193,104
of 23,277,141 outputs
Outputs from Healthcare
#686
of 2,725 outputs
Outputs of similar age
#153,179
of 506,326 outputs
Outputs of similar age from Healthcare
#57
of 178 outputs
Altmetric has tracked 23,277,141 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,725 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has gotten more attention than average, scoring higher than 74% 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 506,326 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 69% of its contemporaries.
We're also able to compare this research output to 178 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 67% of its contemporaries.