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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT
|
|---|---|
| Published in |
BMC Bioinformatics, January 2022
|
| DOI | 10.1186/s12859-021-04504-x |
| Pubmed ID | |
| Authors |
Aparna Elangovan, Yuan Li, Douglas E. V. Pires, Melissa J. Davis, Karin Verspoor |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters 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 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 10% |
| Other | 1 | 5% |
| Lecturer | 1 | 5% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 13 | 62% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 33% |
| Business, Management and Accounting | 1 | 5% |
| Unknown | 13 | 62% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 26 September 2022.
All research outputs
#15,377,308
of 23,622,736 outputs
Outputs from BMC Bioinformatics
#5,143
of 7,410 outputs
Outputs of similar age
#268,569
of 514,094 outputs
Outputs of similar age from BMC Bioinformatics
#109
of 140 outputs
Altmetric has tracked 23,622,736 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 514,094 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 140 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.