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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Deep clustering of protein folding simulations
|
|---|---|
| Published in |
BMC Bioinformatics, December 2018
|
| DOI | 10.1186/s12859-018-2507-5 |
| Pubmed ID | |
| Authors |
Debsindhu Bhowmik, Shang Gao, Michael T. Young, Arvind Ramanathan |
X Demographics
The data shown below were collected from the profiles of 24 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 | 8 | 33% |
| India | 2 | 8% |
| Italy | 1 | 4% |
| Mexico | 1 | 4% |
| Brazil | 1 | 4% |
| Brunei Darussalam | 1 | 4% |
| Sri Lanka | 1 | 4% |
| France | 1 | 4% |
| Unknown | 8 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 79% |
| Scientists | 5 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 118 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 21% |
| Researcher | 14 | 12% |
| Student > Master | 12 | 10% |
| Student > Postgraduate | 8 | 7% |
| Student > Bachelor | 8 | 7% |
| Other | 14 | 12% |
| Unknown | 37 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 13% |
| Computer Science | 15 | 13% |
| Chemistry | 14 | 12% |
| Physics and Astronomy | 8 | 7% |
| Engineering | 6 | 5% |
| Other | 21 | 18% |
| Unknown | 39 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 40. 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 02 April 2019.
All research outputs
#991,258
of 25,052,270 outputs
Outputs from BMC Bioinformatics
#77
of 7,641 outputs
Outputs of similar age
#22,772
of 447,440 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 206 outputs
Altmetric has tracked 25,052,270 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,641 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 99% 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 447,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 206 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 99% of its contemporaries.