+ 
+ 
+ {{ content }}
+
+
+ 
+
+
+
+
Use this panel as a sanity check that your search is selecting the publications you are interested in, since all of the indices are calculated based on this set. On the left side of the panel, the total number of publications and the number of those which are refereed are listed. On the histogram, you can mouse over any data point to see the actual values. The first result set is for the default amount of publications (300). If you have more, you can specify that number in the box at the top of the overview (up to the maximum of 2,000). We expect to be able to increase this maximum at some point in the future.
There are panels that display information about Citations and Reads, but let’s focus on the Indices. The panel illustrates the values of various indices on any given year.
-
+
On the left, the present value of many popular indices are calculated. Mouse over the help icon next to each index to get a brief description of how it’s calculated.
diff --git a/_includes/_blogcontent/2015-11-03-ads-private-libraries.md b/_includes/_blogcontent/2015-11-03-ads-private-libraries.md
index 20b68ea7..9514ac96 100644
--- a/_includes/_blogcontent/2015-11-03-ads-private-libraries.md
+++ b/_includes/_blogcontent/2015-11-03-ads-private-libraries.md
@@ -6,13 +6,13 @@ The ADS libraries allow you to maintain a collection of bibcodes within your own
To get started, simply [create an ADS user account](https://ui.adsabs.harvard.edu/#user/account/register) and [make a query](https://ui.adsabs.harvard.edu/#search/q=author%3A"Accomazzi%2C+A.") of the papers you wish to add to a library. Select the papers that you are interested in and you will now have the option to add them to a new library or one that already exists.
+
+
+
+
+
The number of records in the database that have been cited at least once has also increased over the same timespan, though not as quickly as the number of citations. The number of records in physics and astronomy that have been cited at least once has nearly doubled in the last 8 years. The more rapid increase in the number of citations than in the number of papers being cited is more easily visualized by the figure below, and is best understood when thinking of the citation dataset as a network of papers connected by citations. The figure, originally published as figure 4 in "The ADS in the Information Age - Impact on Discovery" and using data from 1980--2006, shows the number of edges (or number of citations) as a function of the number of nodes (or records that have been cited). The nonlinear growth of the number of citations is evidence of network densification.
-
+
This is partly a consequence of the growth in the average number of references in a bibliography, seen in the figure below (originally figure 5 from the same publication). This trend has only increased since widespread adoption of electronic publishing in the late 1990s, seen as the upwards deviation from the linear trend in bibliography growth.
-
+
The process by which a paper is cited in the ADS is not always obvious to our users. When a paper is ingested, the publisher-provided reference list is read. (For arXiv e-prints or other works without separate reference lists, the paper’s full text is scanned and references are extracted directly from the text.) Individual reference strings are recognized and the bibliographic tokens within them are parsed. We then attempt to match the parsed reference metadata against the existing records within ADS. When a possible match is found, we compute a similarity score between the parsed reference data and that of the potential match in ADS. If the similarity score is high enough, the reference is accepted and a reference/citation pair is created between the referencing paper and the cited paper. The citations table is formed by inverting the references table. The resulting citations table is then checked for duplicates, such as from previous versions of the citing paper that have appeared on the arXiv.
diff --git a/_includes/_blogcontent/2017-12-12-adsug.md b/_includes/_blogcontent/2017-12-12-adsug.md
index 439d630c..a07dc33e 100644
--- a/_includes/_blogcontent/2017-12-12-adsug.md
+++ b/_includes/_blogcontent/2017-12-12-adsug.md
@@ -5,27 +5,27 @@ One of the ADSUG members is Erick Peirson, lead system architect at arXiv. Erick
Presentations and discussions at the main ADSUG meeting covered a lot of ground quickly over the two-day meeting. A full report is expected from the committee in the next month or so, but in the meantime, an overview of the major topics covered is given below, or check out the [online program](../../about/adsug/past_meetings/2018-01-01-201711-program).
-### Removing the Beta from ADS Beta (a.k.a. Bumblebee)
+## Removing the Beta from ADS Beta (a.k.a. Bumblebee)
The ADS development team has been hard at work on [ADS Beta](https://ui.adsabs.harvard.edu/), codenamed Bumblebee, since 2015, an outgrowth of earlier efforts (ADS Labs, ADS 2.0) to modernize the interface, infrastructure, and search capabilities of ADS Classic. These development efforts are paying off and Bumblebee is now rapidly approaching feature and content parity with ADS Classic, a nearly 25-year-old system. In addition, Bumblebee provides a much richer search experience, including full-text searching for most recent publications, on-the-fly search filtering, and integration with systems such as ORCID. Full parity with Classic is expected to be reached in early 2018, and ADS Classic will be slowly phased out over the 6-12 months following that milestone.
-### System architecture improvements
+## System architecture improvements
System architecture development in Bumblebee is multi-pronged. The development team reported on recent architecture development in several areas. First, Bumblebee is cloud-based, unlike ADS Classic, which is hosted in locally maintained servers and mirror servers. Scaling up the system to ensure a snappy response time thus requires different solutions, including testing [Kubernetes](https://kubernetes.io/) as a scalable deployment technology and other speed improvements. Second, ingesting data into the ADS databases relies on a series of pipelines to transform raw data from publishers and other sources into appropriately formatted and fielded metadata, to calculate citation data and other metrics, and to append other related information to a publication record. These pipelines are in the process of being re-engineered to improve speed and reliability. Third, the front-end interface of Bumblebee has been improved in a number of ways under-the-hood, including improved error handling. Finally, the dev team outlined future areas for improvements to the system architecture, all targeted at improving speed and reliability for users.
-### Planetary sciences
+## Planetary sciences
After the [previous ADSUG meeting](../../about/adsug/past_meetings/2018-01-01-201701-program), the [committee recommended](http://ads.harvard.edu/adsug/2017/ADSUG_Report.pdf) that ADS investigate the effort involved in more thoroughly covering the planetary sciences literature. While much of the planetary sciences corpus is currently included in ADS, it’s technically out of the scope of ADS’s holdings and little effort has been expended to ensure its completeness. ADS reported on a preliminary study to explore what would be required to move the planetary sciences literature into our core holdings. While the study indicated that the move would be welcomed by the planetary sciences community, many of whom have astronomy backgrounds and are already familiar with ADS, it would require a good deal of effort on the part of ADS. The ADSUG is expected to make a recommendation on how ADS should follow up on this preliminary study.
-### Software citations (Project Asclepias)
+## Software citations (Project Asclepias)
ADS, in collaboration with AAS and [Zenodo](https://zenodo.org), is working to improve citations to software products. Project [Asclepias](https://github.com/asclepias/) allows developers of astronomy-related software to upload their versioned code to an online repository such as Github, publish a released version in Zenodo, and receive a DOI for their code. The Zenodo DOI enables researchers to cite the appropriate version of the code directly, without resorting to hacks such as citing a published article describing the software. ADS will soon track the citations to these Zenodo DOIs, allowing researchers with a focus on software development to properly receive credit for their work. Asclepias will be reported on more thoroughly in an upcoming blog post.
-### Affiliations and collaborations
+## Affiliations and collaborations
Author affiliations have long been included in ADS but successfully searching for an author by including their affiliation as a search term is non-trivial. This is in large part due to lack of consistency in how affiliations are recorded. To take ADS’s home institution as an example, an author could record their affiliation as “Center for Astrophysics,” “Harvard-Smithsonian Center for Astrophysics,” “CfA,” or one of many other variants. Mapping these variants to each other is a complex problem that we are solving by incorporating machine learning techniques. The implementation of this new feature is still underway, but will eventually allow users to more confidently search using author affiliations as a search term.
A related issue is that of large collaborations, such as LIGO. For arXiv e-prints and conference proceedings, few authors explicitly list all members of large collaborations, instead generally listing the name of the collaboration itself and perhaps a small number of authors. (Published journal articles do generally include the full author lists.) Searching for a member of a given collaboration will thus fail to find any publications that are “authored” by the collaboration. In addition, similarly to author affiliation, there are many published variants of a given collaboration’s name (e.g. LIGO Scientific Collaboration vs. LIGO Collaboration). With the rise of more and larger collaborations and their prominence, ADS is exploring how best to resolve this issue.
-### ORCID
+## ORCID
ORCID is a non-profit organization that issues ORCID IDs, a method of disambiguating authors, especially those with common names. [ADS has incorporated ORCID functionality into Bumblebee](../blog/orcid-claims), allowing authors to claim their papers. Papers with approved claims are then discoverable when searching by an author’s ORCID ID, allowing authors to maintain a personal bibliography. ADS is exploring methods for improving and expanding ORCID functionality within the system.
-### Future directions
+## Future directions
We wrapped up the ADSUG meeting by discussing future directions with the committee, including some long-term possibilities for ADS.
Based on our presentations and their own discussions, the ADSUG is currently preparing a report with their suggestions for current and future development; that report will be available on the [ADSUG page](../../about/adsug) when ready. We also welcome community input---if you’re interested in contributing to or serving on the ADSUG, contact the ADSUG chair or your nearest member!
diff --git a/_includes/_blogcontent/2018-02-05-asclepias.md b/_includes/_blogcontent/2018-02-05-asclepias.md
index 13fe305d..5f45d5d1 100644
--- a/_includes/_blogcontent/2018-02-05-asclepias.md
+++ b/_includes/_blogcontent/2018-02-05-asclepias.md
@@ -2,16 +2,36 @@
Soon, if not already, the research lifecycle will be fully digital. Every stage can be captured by one or more digital objects, each of which carries specific knowledge with regards to that stage. The most obvious inhabitant of this digital cosmos is the scholarly publication, but there are many more species, ranging from observation proposals, datasets, software to posters and presentations. With repositories like mission data archives, [Figshare](https://figshare.com/) and [Zenodo](https://zenodo.org/), all of these objects can, in principle, be made discoverable and citable. In this blog we focus on one particular digital object: software. Enter ***Asclepias***! Asclepias, “*Enabling software citation and discovery workflows*”, is a project funded through a grant from the Alfred P. Sloan Foundation to the American Astronomical Society (AAS), and it involves collaboration between the AAS, Zenodo, the ADS and Thomas Robitaille as freelancer. Why this collaboration? It reflects the fact that no one stakeholder can “solve” the problem of software citation.
+
Figure source: "Research Life Cycle" image from UC Irvine [Library Digital Scholarship Services](https://www.lib.uci.edu/dss)
| Gus Muench |
-| 
| Alberto Accomazzi, Sergi Blanco-Cuaresma, Edwin Henneken |
-| 
| Lars Holm Nielsen, Krzysztof Nowak
, Alexander Ioannidis |
-| 
| Thomas Robitaille |
+| Organization | +Team Members | +
|---|---|
|
+ Gus Muench | +
|
+ Alberto Accomazzi, Sergi Blanco-Cuaresma, Edwin Henneken | +
|
+ Lars Holm Nielsen, Krzysztof Nowak, Alexander Ioannidis | +
|
+ Thomas Robitaille | +
+
+
| Zenodo DOI | +Module | +Citations | +
|---|---|---|
| 10.5281/zenodo.10598 | triangle | 2 |
| 10.5281/zenodo.11020 | triangle | 40 |
| 10.5281/zenodo.45906 | corner | 16 |
| 10.5281/zenodo.53155 | corner | 7 |
@@ -30,18 +30,18 @@ Users seeking to create such a list should begin with an author search and then
-### Export formats
+## Export formats
More export formats have been added, covering a range of formats required by astrophysics journals. From the **Export** menu, select **Other Formats** to be taken to the export page. Select the appropriate export format from the menu and click Apply to see the results displayed. The formatted records can be copied to the clipboard or saved to file.
-### ORCID improvements
+## ORCID improvements
Several improvements have been made to our ORCID system, including an upgrade to use the ORCID v.2 API. Users are now able to claim and delete multiple records at a time. After [signing into ORCID in ADS](../help/orcid/claiming-papers), select the relevant records in the search results and use the ORCID Bulk Actions box on the right-hand side to claim or delete the selected records. In addition, improvements have been made for speed and efficiency, which will especially affect users with many claimed records.
-### Speed and efficiency improvements
+## Speed and efficiency improvements
Several adjustments have been made to the user interface to improve page loading speeds. Overall, Bumblebee should load faster to start and navigate between pages more quickly.
-### About page
+## About page
An [About page](https://ui.adsabs.harvard.edu/about/) is now available from the top navigation bar. Read about [our team](https://ui.adsabs.harvard.edu/about/team/), [the history of ADS](https://ui.adsabs.harvard.edu/about/history/), and more.
+
+
Figure 1
+
Figure 2
+
Figure 1
+
Figure 2
+
Figure 3
+
Figure 4
+
Application Settings within the user account
+
The left and right sidebars can be hidden as needed.
+
Figure 1
+
Figure 2
+
Figure 3
+
Figure 4
+
Import Classic libraries into the new ADS
+
Application settings
+
Performing actions on selected articles in the new ADS
+
ADS Classic at the time of its birth, and at the time of its death.
+
+
Left: Nearly 90 percent of matched publisher-provided affiliation strings in our database appear at least 10 times. Right: The number of unmatched affiliation strings is dominated by those appearing fewer than 10 times.
+
Figure 1
+
myADS setup
+
Manage Library Collaborators screen
+
Example of sorting by score
+
Example of a myADS weekly email
+
Create general myADS notifications from the ADS results page
+
+
+
+
+
+
New API help documentation
+
API token authentication box
+
Search ADS operation
+
Search ADS request parameters
+
Search ADS response
+
Search ADS curl command: copy this into your terminal to run the query as formatted
+
BibTeX export for multiple bibcodes
+
Request body; click on the Example tab, then "fill example" to show the proper request body formatting
+
Edit the placeholder request body as necessary
+
Figure 1: Results of the query for Aldebaran, with highlights turned on
+
Figure 2
+
+
Figure 2: Directed network based on citation relationship between journals. The nodes represent journals. This is a fictitious network, for illustration purposes only.
+
Figure 3: Comparison between Eigenfactors calculated from ADS data and provided in the JCR. The categorization is based on journal assignments provided in the JCR.
+
+
+
+
+
Join us at the [243rd American Astronomical Society (AAS) Meeting](https://aas.org/meetings/aas243) from 7-11 January 2024 in New Orleans, LA for an insightful exploration of the [Science Explorer (SciX)](https://www.scixplorer.org/) and the implications of its recent launch for the ADS user community.
diff --git a/_includes/_blogcontent/2024-02-26-userfeedback-2024.md b/_includes/_blogcontent/2024-02-26-userfeedback-2024.md
index d894d79c..7125b31a 100644
--- a/_includes/_blogcontent/2024-02-26-userfeedback-2024.md
+++ b/_includes/_blogcontent/2024-02-26-userfeedback-2024.md
@@ -2,11 +2,11 @@ The virtual gathering of the [Astrophysics Data System Users Group (ADSUG)](../a
The ADSUG meeting delved into these user insights, providing a collaborative space for discussions on maximizing the scientific productivity of the community we serve. The [meeting's agenda](../about/adsug/past_meetings/2023-11-16-202311-program.html) included recommendations for changes and improvements to services and procedures, reflecting the ADSUG's advisory role.
-### User Survey: Illuminating Current ADS Strengths & User Aspirations for SciX
+## User Survey: Illuminating Current ADS Strengths & User Aspirations for SciX
The survey underscored the significance of ADS in the astrophysics community, with 91.4% of survey respondents reporting daily or weekly use of the system and 95.52% indicating they were either highly likely or likely to recommend the use of ADS to others. A high volume of use and high promoter scores (10 being the highest) were typically reported together. The survey was advertised on the ADS website, through social media, and distributed though newsletters and other online community forums relevant to the SciX expansion. Notably, 56.7% of responses came from existing ADS users who found the survey through a link on the ADS website homepage.
+
Figures 1-3: ADS users who reported a high volume of use were also likely to be highly likely or likely to recommend the use of ADS to others.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
2. **`reviews()`** is a function that finds the papers that include citations most relevant to my topic. When I use this function, I am going to find papers that came after Wagner and Eisenman and synthesize or build on top of their research, thus citing this research.
-
+
3. **`trending()`** shows me the reader community of this topic. I can see what papers on this topic do SciX users read the most. Using this function is like how in your lab group, you might see what else people are reading that you might not have discovered yet.
-
+
4. Finally, **`similar()`** helps me find papers that have similar content to this one paper I have. SciX compares abstracts and provides a robust way of discovering similar research when I have no idea who else is doing similar research in the field.
-
+
Using these four functions, I quickly identified many more papers that are very relevant to my research questions and expanded my one reading assignment to a more comprehensive reading list.
@@ -45,7 +45,7 @@ As a graduate student, I often want to search for my advisor’s work or the pub
SciX provides more advanced search filters that can help with the common name issue. First, on the left of the screen, the first filter is authors. If you click the checkbox of certain names, you can limit to or exclude those people. To further narrow down by name, you can click on the small arrow next to the names and expand to people with the same last name and first name initial, so you can distinguish them with their middle names. If someone changed their name throughout their career, you could click on multiple names in the `author` filter and limit the search results to multiple names.
+
+
+
+
+
+
+
+
+
+
+
+
+
+
Figure 1: Left: Data collections currently available in SciX’s Earth science collection (`collection:earthscience`). Right: Publication types for records currently found in the ORNL DAAC data collection (`data:ORNL.DAAC`).
+
Figure 2: The SciX record for a dataset hosted by the ORNL DAAC. As of 8/25/2025, SciX has identified 139 citations and 2 credits from mentions for the dataset. Insert: the corresponding citation metrics for the record in question.
+
{{ page.date | date_to_string }}
{% if page.comment %}
+
{% endif %}
+
{% endif %}
+
{% endif %}
+
{% endif %}