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Twitter Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
An efficient chemical screening method for structure-based inhibitors to nucleic acid enzymes targeting the DNA repair-replication interface and SARS CoV-2
|
|---|---|
| Book title |
The DNA Replication-Repair Interface
|
| Published in |
Methods in enzymology, January 2021
|
| DOI | 10.1016/bs.mie.2021.09.003 |
| Pubmed ID | |
| Book ISBNs |
978-0-323-90733-0
|
| Authors |
Moiani, Davide, Link, Todd M., Brosey, Chris A., Katsonis, Panagiotis, Lichtarge, Olivier, Kim, Youngchang, Joachimiak, Andrzej, Ma, Zhijun, Kim, In-Kwon, Ahmed, Zamal, Jones, Darin E., Tsutakawa, Susan E., Tainer, John A., Davide Moiani, Todd M. Link, Chris A. Brosey, Panagiotis Katsonis, Olivier Lichtarge, Youngchang Kim, Andrzej Joachimiak, Zhijun Ma, In-Kwon Kim, Zamal Ahmed, Darin E. Jones, Susan E. Tsutakawa, John A. Tainer |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 25% |
| Researcher | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 4 | 50% |
| Unknown | 4 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 03 December 2021.
All research outputs
#4,221,765
of 23,310,485 outputs
Outputs from Methods in enzymology
#274
of 2,623 outputs
Outputs of similar age
#113,232
of 502,942 outputs
Outputs of similar age from Methods in enzymology
#19
of 133 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,623 research outputs from this source. They receive a mean Attention Score of 3.8. 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 502,942 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 77% of its contemporaries.
We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.