Data Mining Techniques for the Life Sciences
Springer US
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
IMEx Databases: Displaying Molecular Interactions into a Single, Standards-Compliant Dataset
|
|---|---|
| Book title |
Data Mining Techniques for the Life Sciences
|
| Published in |
Methods in molecular biology, May 2022
|
| DOI | 10.1007/978-1-0716-2095-3_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-07-162094-6, 978-1-07-162095-3
|
| Authors |
Porras, Pablo, Orchard, Sandra, Licata, Luana, Porras P, Orchard S, Licata L |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 10% |
| Unknown | 9 | 90% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 90% |
| Scientists | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Student > Bachelor | 1 | 33% |
| Student > Master | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 33% |
| Agricultural and Biological Sciences | 1 | 33% |
| Economics, Econometrics and Finance | 1 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 May 2022.
All research outputs
#4,698,297
of 23,312,088 outputs
Outputs from Methods in molecular biology
#1,356
of 13,324 outputs
Outputs of similar age
#104,193
of 442,988 outputs
Outputs of similar age from Methods in molecular biology
#28
of 466 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,324 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 89% 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 442,988 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 76% of its contemporaries.
We're also able to compare this research output to 466 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 93% of its contemporaries.