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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach
|
|---|---|
| Published in |
BMC Genomics, November 2020
|
| DOI | 10.1186/s12864-020-07185-7 |
| Pubmed ID | |
| Authors |
Jinchan Qu, Albert Steppi, Dongrui Zhong, Jie Hao, Jian Wang, Pei-Yau Lung, Tingting Zhao, Zhe He, Jinfeng Zhang |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| France | 1 | 20% |
| Brazil | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 27% |
| Student > Bachelor | 4 | 13% |
| Other | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Unspecified | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 11 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Other | 4 | 13% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 29 November 2021.
All research outputs
#13,477,523
of 23,262,131 outputs
Outputs from BMC Genomics
#4,818
of 10,735 outputs
Outputs of similar age
#198,046
of 415,828 outputs
Outputs of similar age from BMC Genomics
#62
of 176 outputs
Altmetric has tracked 23,262,131 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,735 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 53% 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 415,828 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 51% of its contemporaries.
We're also able to compare this research output to 176 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 63% of its contemporaries.